Specification · Superseded

Open Model Context Protocol
Version 2025-03-26

Download: PDF · schema.json · schema.ts

Other versions: 2026-07-28 · 2025-11-25 · 2025-06-18 · 2024-11-05 · draft

Built from 7596f66 · 2026-09-23

1 Specification

Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

This specification defines the authoritative protocol requirements, based on the TypeScript schema in schema.ts.

For implementation guides and examples, visit openmodelcontextprotocol.org.

The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all capitals, as shown here.

Overview

MCP provides a standardized way for applications to:

  • Share contextual information with language models
  • Expose tools and capabilities to AI systems
  • Build composable integrations and workflows

The protocol uses JSON-RPC 2.0 messages to establish communication between:

  • Hosts: LLM applications that initiate connections
  • Clients: Connectors within the host application
  • Servers: Services that provide context and capabilities

MCP takes some inspiration from the Language Server Protocol, which standardizes how to add support for programming languages across a whole ecosystem of development tools. In a similar way, MCP standardizes how to integrate additional context and tools into the ecosystem of AI applications.

Key Details

Base Protocol

  • JSON-RPC message format
  • Stateful connections
  • Server and client capability negotiation

Features

Servers offer any of the following features to clients:

  • Resources: Context and data, for the user or the AI model to use
  • Prompts: Templated messages and workflows for users
  • Tools: Functions for the AI model to execute

Clients may offer the following feature to servers:

  • Sampling: Server-initiated agentic behaviors and recursive LLM interactions

Additional Utilities

  • Configuration
  • Progress tracking
  • Cancellation
  • Error reporting
  • Logging

Security and Trust & Safety

The Model Context Protocol enables powerful capabilities through arbitrary data access and code execution paths. With this power comes important security and trust considerations that all implementors must carefully address.

Key Principles

  1. User Consent and Control

    • Users must explicitly consent to and understand all data access and operations
    • Users must retain control over what data is shared and what actions are taken
    • Implementors should provide clear UIs for reviewing and authorizing activities
  2. Data Privacy

    • Hosts must obtain explicit user consent before exposing user data to servers
    • Hosts must not transmit resource data elsewhere without user consent
    • User data should be protected with appropriate access controls
  3. Tool Safety

    • Tools represent arbitrary code execution and must be treated with appropriate caution.
      • In particular, descriptions of tool behavior such as annotations should be considered untrusted, unless obtained from a trusted server.
    • Hosts must obtain explicit user consent before invoking any tool
    • Users should understand what each tool does before authorizing its use
  4. LLM Sampling Controls

    • Users must explicitly approve any LLM sampling requests
    • Users should control:
      • Whether sampling occurs at all
      • The actual prompt that will be sent
      • What results the server can see
    • The protocol intentionally limits server visibility into prompts

Implementation Guidelines

While MCP itself cannot enforce these security principles at the protocol level, implementors SHOULD:

  1. Build robust consent and authorization flows into their applications
  2. Provide clear documentation of security implications
  3. Implement appropriate access controls and data protections
  4. Follow security best practices in their integrations
  5. Consider privacy implications in their feature designs

Learn More

Explore the detailed specification for each protocol component:

2 Key Changes

This document lists changes made to the Model Context Protocol (MCP) specification since the previous revision, 2024-11-05.

Major changes

  1. Added a comprehensive authorization framework based on OAuth 2.1 (PR #133)
  2. Replaced the previous HTTP+SSE transport with a more flexible Streamable HTTP transport (PR #206)
  3. Added support for JSON-RPC batching (PR #228)
  4. Added comprehensive tool annotations for better describing tool behavior, like whether it is read-only or destructive (PR #185)

Other schema changes

  • Added message field to ProgressNotification to provide descriptive status updates
  • Added support for audio data, joining the existing text and image content types
  • Added completions capability to explicitly indicate support for argument autocompletion suggestions

See the updated schema for more details.

Full changelog

For a complete list of all changes that have been made since the last protocol revision, see GitHub.

3 Architecture

The Model Context Protocol (MCP) follows a client-host-server architecture where each host can run multiple client instances. This architecture enables users to integrate AI capabilities across applications while maintaining clear security boundaries and isolating concerns. Built on JSON-RPC, MCP provides a stateful session protocol focused on context exchange and sampling coordination between clients and servers.

Core Components

InternetLocal machineApplication Host ProcessHostClient 1Client 2Client 3Server 1Files & GitServer 2DatabaseLocalResource ALocalResource BServer 3External APIsRemoteResource C

Host

The host process acts as the container and coordinator:

  • Creates and manages multiple client instances
  • Controls client connection permissions and lifecycle
  • Enforces security policies and consent requirements
  • Handles user authorization decisions
  • Coordinates AI/LLM integration and sampling
  • Manages context aggregation across clients

Clients

Each client is created by the host and maintains an isolated server connection:

  • Establishes one stateful session per server
  • Handles protocol negotiation and capability exchange
  • Routes protocol messages bidirectionally
  • Manages subscriptions and notifications
  • Maintains security boundaries between servers

A host application creates and manages multiple clients, with each client having a 1:1 relationship with a particular server.

Servers

Servers provide specialized context and capabilities:

  • Expose resources, tools and prompts via MCP primitives
  • Operate independently with focused responsibilities
  • Request sampling through client interfaces
  • Must respect security constraints
  • Can be local processes or remote services

Design Principles

MCP is built on several key design principles that inform its architecture and implementation:

  1. Servers should be extremely easy to build

    • Host applications handle complex orchestration responsibilities
    • Servers focus on specific, well-defined capabilities
    • Simple interfaces minimize implementation overhead
    • Clear separation enables maintainable code
  2. Servers should be highly composable

    • Each server provides focused functionality in isolation
    • Multiple servers can be combined seamlessly
    • Shared protocol enables interoperability
    • Modular design supports extensibility
  3. Servers should not be able to read the whole conversation, nor "see into" other servers

    • Servers receive only necessary contextual information
    • Full conversation history stays with the host
    • Each server connection maintains isolation
    • Cross-server interactions are controlled by the host
    • Host process enforces security boundaries
  4. Features can be added to servers and clients progressively

    • Core protocol provides minimal required functionality
    • Additional capabilities can be negotiated as needed
    • Servers and clients evolve independently
    • Protocol designed for future extensibility
    • Backwards compatibility is maintained

Capability Negotiation

The Model Context Protocol uses a capability-based negotiation system where clients and servers explicitly declare their supported features during initialization. Capabilities determine which protocol features and primitives are available during a session.

  • Servers declare capabilities like resource subscriptions, tool support, and prompt templates
  • Clients declare capabilities like sampling support and notification handling
  • Both parties must respect declared capabilities throughout the session
  • Additional capabilities can be negotiated through extensions to the protocol
ServerClientHostServerClientHostActive Session with Negotiated Featuresloop[Client Requests]loop[Server Requests]loop[Notifications]Initialize clientInitialize session with capabilitiesRespond with supported capabilitiesUser- or model-initiated actionRequest (tools/resources)ResponseUpdate UI or respond to modelRequest (sampling)Forward to AIAI responseResponseResource updatesStatus changesTerminateEnd session

Each capability unlocks specific protocol features for use during the session. For example:

  • Implemented server features must be advertised in the server's capabilities
  • Emitting resource subscription notifications requires the server to declare subscription support
  • Tool invocation requires the server to declare tool capabilities
  • Sampling requires the client to declare support in its capabilities

This capability negotiation ensures clients and servers have a clear understanding of supported functionality while maintaining protocol extensibility.

4 Base Protocol

4.1 Overview

The Model Context Protocol consists of several key components that work together:

  • Base Protocol: Core JSON-RPC message types
  • Lifecycle Management: Connection initialization, capability negotiation, and session control
  • Server Features: Resources, prompts, and tools exposed by servers
  • Client Features: Sampling and root directory lists provided by clients
  • Utilities: Cross-cutting concerns like logging and argument completion

All implementations MUST support the base protocol and lifecycle management components. Other components MAY be implemented based on the specific needs of the application.

These protocol layers establish clear separation of concerns while enabling rich interactions between clients and servers. The modular design allows implementations to support exactly the features they need.

Messages

All messages between MCP clients and servers MUST follow the JSON-RPC 2.0 specification. The protocol defines these types of messages:

Requests

Requests are sent from the client to the server or vice versa, to initiate an operation.

{
  jsonrpc: "2.0";
  id: string | number;
  method: string;
  params?: {
    [key: string]: unknown;
  };
}
  • Requests MUST include a string or integer ID.
  • Unlike base JSON-RPC, the ID MUST NOT be null.
  • The request ID MUST NOT have been previously used by the requestor within the same session.
Responses

Responses are sent in reply to requests, containing the result or error of the operation.

{
  jsonrpc: "2.0";
  id: string | number;
  result?: {
    [key: string]: unknown;
  }
  error?: {
    code: number;
    message: string;
    data?: unknown;
  }
}
  • Responses MUST include the same ID as the request they correspond to.
  • Responses are further sub-categorized as either successful results or errors. Either a result or an error MUST be set. A response MUST NOT set both.
  • Results MAY follow any JSON object structure, while errors MUST include an error code and message at minimum.
  • Error codes MUST be integers.
Notifications

Notifications are sent from the client to the server or vice versa, as a one-way message. The receiver MUST NOT send a response.

{
  jsonrpc: "2.0";
  method: string;
  params?: {
    [key: string]: unknown;
  };
}
  • Notifications MUST NOT include an ID.
Batching

JSON-RPC also defines a means to batch multiple requests and notifications, by sending them in an array. MCP implementations MAY support sending JSON-RPC batches, but MUST support receiving JSON-RPC batches.

Auth

MCP provides an Authorization framework for use with HTTP. Implementations using an HTTP-based transport SHOULD conform to this specification, whereas implementations using STDIO transport SHOULD NOT follow this specification, and instead retrieve credentials from the environment.

Additionally, clients and servers MAY negotiate their own custom authentication and authorization strategies.

For further discussions and contributions to the evolution of MCP’s auth mechanisms, join us in GitHub Discussions to help shape the future of the protocol!

Schema

The full specification of the protocol is defined as a TypeScript schema. This is the source of truth for all protocol messages and structures.

There is also a JSON Schema, which is automatically generated from the TypeScript source of truth, for use with various automated tooling.

4.2 Lifecycle

The Model Context Protocol (MCP) defines a rigorous lifecycle for client-server connections that ensures proper capability negotiation and state management.

  1. Initialization: Capability negotiation and protocol version agreement
  2. Operation: Normal protocol communication
  3. Shutdown: Graceful termination of the connection
ServerClientServerClientInitialization PhaseOperation PhaseNormal protocol operationsShutdownConnection closedinitialize requestinitialize responseinitialized notificationDisconnect

Lifecycle Phases

Initialization

The initialization phase MUST be the first interaction between client and server. During this phase, the client and server:

  • Establish protocol version compatibility
  • Exchange and negotiate capabilities
  • Share implementation details

The client MUST initiate this phase by sending an initialize request containing:

  • Protocol version supported
  • Client capabilities
  • Client implementation information
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "initialize",
  "params": {
    "protocolVersion": "2025-03-26",
    "capabilities": {
      "roots": {
        "listChanged": true
      },
      "sampling": {}
    },
    "clientInfo": {
      "name": "ExampleClient",
      "version": "1.0.0"
    }
  }
}

The initialize request MUST NOT be part of a JSON-RPC batch, as other requests and notifications are not possible until initialization has completed. This also permits backwards compatibility with prior protocol versions that do not explicitly support JSON-RPC batches.

The server MUST respond with its own capabilities and information:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "protocolVersion": "2025-03-26",
    "capabilities": {
      "logging": {},
      "prompts": {
        "listChanged": true
      },
      "resources": {
        "subscribe": true,
        "listChanged": true
      },
      "tools": {
        "listChanged": true
      }
    },
    "serverInfo": {
      "name": "ExampleServer",
      "version": "1.0.0"
    },
    "instructions": "Optional instructions for the client"
  }
}

After successful initialization, the client MUST send an initialized notification to indicate it is ready to begin normal operations:

{
  "jsonrpc": "2.0",
  "method": "notifications/initialized"
}
  • The client SHOULD NOT send requests other than pings before the server has responded to the initialize request.
  • The server SHOULD NOT send requests other than pings and logging before receiving the initialized notification.
Version Negotiation

In the initialize request, the client MUST send a protocol version it supports. This SHOULD be the latest version supported by the client.

If the server supports the requested protocol version, it MUST respond with the same version. Otherwise, the server MUST respond with another protocol version it supports. This SHOULD be the latest version supported by the server.

If the client does not support the version in the server's response, it SHOULD disconnect.

Capability Negotiation

Client and server capabilities establish which optional protocol features will be available during the session.

Key capabilities include:

Category Capability Description
Client roots Ability to provide filesystem roots
Client sampling Support for LLM sampling requests
Client experimental Describes support for non-standard experimental features
Server prompts Offers prompt templates
Server resources Provides readable resources
Server tools Exposes callable tools
Server logging Emits structured log messages
Server completions Supports argument autocompletion
Server experimental Describes support for non-standard experimental features

Capability objects can describe sub-capabilities like:

  • listChanged: Support for list change notifications (for prompts, resources, and tools)
  • subscribe: Support for subscribing to individual items' changes (resources only)
Operation

During the operation phase, the client and server exchange messages according to the negotiated capabilities.

Both parties SHOULD:

  • Respect the negotiated protocol version
  • Only use capabilities that were successfully negotiated
Shutdown

During the shutdown phase, one side (usually the client) cleanly terminates the protocol connection. No specific shutdown messages are defined—instead, the underlying transport mechanism should be used to signal connection termination:

stdio

For the stdio transport, the client SHOULD initiate shutdown by:

  1. First, closing the input stream to the child process (the server)
  2. Waiting for the server to exit, or sending SIGTERM if the server does not exit within a reasonable time
  3. Sending SIGKILL if the server does not exit within a reasonable time after SIGTERM

The server MAY initiate shutdown by closing its output stream to the client and exiting.

HTTP

For HTTP transports, shutdown is indicated by closing the associated HTTP connection(s).

Timeouts

Implementations SHOULD establish timeouts for all sent requests, to prevent hung connections and resource exhaustion. When the request has not received a success or error response within the timeout period, the sender SHOULD issue a cancellation notification for that request and stop waiting for a response.

SDKs and other middleware SHOULD allow these timeouts to be configured on a per-request basis.

Implementations MAY choose to reset the timeout clock when receiving a progress notification corresponding to the request, as this implies that work is actually happening. However, implementations SHOULD always enforce a maximum timeout, regardless of progress notifications, to limit the impact of a misbehaving client or server.

Error Handling

Implementations SHOULD be prepared to handle these error cases:

  • Protocol version mismatch
  • Failure to negotiate required capabilities
  • Request timeouts

Example initialization error:

{
  "jsonrpc": "2.0",
  "id": 1,
  "error": {
    "code": -32602,
    "message": "Unsupported protocol version",
    "data": {
      "supported": ["2024-11-05"],
      "requested": "1.0.0"
    }
  }
}

4.3 Transports

MCP uses JSON-RPC to encode messages. JSON-RPC messages MUST be UTF-8 encoded.

The protocol currently defines two standard transport mechanisms for client-server communication:

  1. stdio, communication over standard in and standard out
  2. Streamable HTTP

Clients SHOULD support stdio whenever possible.

It is also possible for clients and servers to implement custom transports in a pluggable fashion.

stdio

In the stdio transport:

  • The client launches the MCP server as a subprocess.
  • The server reads JSON-RPC messages from its standard input (stdin) and sends messages to its standard output (stdout).
  • Messages may be JSON-RPC requests, notifications, responses—or a JSON-RPC batch containing one or more requests and/or notifications.
  • Messages are delimited by newlines, and MUST NOT contain embedded newlines.
  • The server MAY write UTF-8 strings to its standard error (stderr) for logging purposes. Clients MAY capture, forward, or ignore this logging.
  • The server MUST NOT write anything to its stdout that is not a valid MCP message.
  • The client MUST NOT write anything to the server's stdin that is not a valid MCP message.
Server ProcessClientServer ProcessClientloop[Message Exchange]Launch subprocessWrite to stdinWrite to stdoutOptional logs on stderrClose stdin, terminate subprocess

Streamable HTTP

In the Streamable HTTP transport, the server operates as an independent process that can handle multiple client connections. This transport uses HTTP POST and GET requests. Server can optionally make use of Server-Sent Events (SSE) to stream multiple server messages. This permits basic MCP servers, as well as more feature-rich servers supporting streaming and server-to-client notifications and requests.

The server MUST provide a single HTTP endpoint path (hereafter referred to as the MCP endpoint) that supports both POST and GET methods. For example, this could be a URL like https://example.com/mcp.

Security Warning

When implementing Streamable HTTP transport:

  1. Servers MUST validate the Origin header on all incoming connections to prevent DNS rebinding attacks
  2. When running locally, servers SHOULD bind only to localhost (127.0.0.1) rather than all network interfaces (0.0.0.0)
  3. Servers SHOULD implement proper authentication for all connections

Without these protections, attackers could use DNS rebinding to interact with local MCP servers from remote websites.

Sending Messages to the Server

Every JSON-RPC message sent from the client MUST be a new HTTP POST request to the MCP endpoint.

  1. The client MUST use HTTP POST to send JSON-RPC messages to the MCP endpoint.
  2. The client MUST include an Accept header, listing both application/json and text/event-stream as supported content types.
  3. The body of the POST request MUST be one of the following:
    • A single JSON-RPC request, notification, or response
    • An array batching one or more requests and/or notifications
    • An array batching one or more responses
  4. If the input consists solely of (any number of) JSON-RPC responses or notifications:
    • If the server accepts the input, the server MUST return HTTP status code 202 Accepted with no body.
    • If the server cannot accept the input, it MUST return an HTTP error status code (e.g., 400 Bad Request). The HTTP response body MAY comprise a JSON-RPC error response that has no id.
  5. If the input contains any number of JSON-RPC requests, the server MUST either return Content-Type: text/event-stream, to initiate an SSE stream, or Content-Type: application/json, to return one JSON object. The client MUST support both these cases.
  6. If the server initiates an SSE stream:
    • The SSE stream SHOULD eventually include one JSON-RPC response per each JSON-RPC request sent in the POST body. These responses MAY be batched.
    • The server MAY send JSON-RPC requests and notifications before sending a JSON-RPC response. These messages SHOULD relate to the originating client request. These requests and notifications MAY be batched.
    • The server SHOULD NOT close the SSE stream before sending a JSON-RPC response per each received JSON-RPC request, unless the session expires.
    • After all JSON-RPC responses have been sent, the server SHOULD close the SSE stream.
    • Disconnection MAY occur at any time (e.g., due to network conditions). Therefore:
      • Disconnection SHOULD NOT be interpreted as the client cancelling its request.
      • To cancel, the client SHOULD explicitly send an MCP CancelledNotification.
      • To avoid message loss due to disconnection, the server MAY make the stream resumable.
Listening for Messages from the Server
  1. The client MAY issue an HTTP GET to the MCP endpoint. This can be used to open an SSE stream, allowing the server to communicate to the client, without the client first sending data via HTTP POST.
  2. The client MUST include an Accept header, listing text/event-stream as a supported content type.
  3. The server MUST either return Content-Type: text/event-stream in response to this HTTP GET, or else return HTTP 405 Method Not Allowed, indicating that the server does not offer an SSE stream at this endpoint.
  4. If the server initiates an SSE stream:
    • The server MAY send JSON-RPC requests and notifications on the stream. These requests and notifications MAY be batched.
    • These messages SHOULD be unrelated to any concurrently-running JSON-RPC request from the client.
    • The server MUST NOT send a JSON-RPC response on the stream unless resuming a stream associated with a previous client request.
    • The server MAY close the SSE stream at any time.
    • The client MAY close the SSE stream at any time.
Multiple Connections
  1. The client MAY remain connected to multiple SSE streams simultaneously.
  2. The server MUST send each of its JSON-RPC messages on only one of the connected streams; that is, it MUST NOT broadcast the same message across multiple streams.
    • The risk of message loss MAY be mitigated by making the stream resumable.
Resumability and Redelivery

To support resuming broken connections, and redelivering messages that might otherwise be lost:

  1. Servers MAY attach an id field to their SSE events, as described in the SSE standard.
    • If present, the ID MUST be globally unique across all streams within that session—or all streams with that specific client, if session management is not in use.
  2. If the client wishes to resume after a broken connection, it SHOULD issue an HTTP GET to the MCP endpoint, and include the Last-Event-ID header to indicate the last event ID it received.
    • The server MAY use this header to replay messages that would have been sent after the last event ID, on the stream that was disconnected, and to resume the stream from that point.
    • The server MUST NOT replay messages that would have been delivered on a different stream.

In other words, these event IDs should be assigned by servers on a per-stream basis, to act as a cursor within that particular stream.

Session Management

An MCP "session" consists of logically related interactions between a client and a server, beginning with the initialization phase. To support servers which want to establish stateful sessions:

  1. A server using the Streamable HTTP transport MAY assign a session ID at initialization time, by including it in an Mcp-Session-Id header on the HTTP response containing the InitializeResult.
    • The session ID SHOULD be globally unique and cryptographically secure (e.g., a securely generated UUID, a JWT, or a cryptographic hash).
    • The session ID MUST only contain visible ASCII characters (ranging from 0x21 to 0x7E).
  2. If an Mcp-Session-Id is returned by the server during initialization, clients using the Streamable HTTP transport MUST include it in the Mcp-Session-Id header on all of their subsequent HTTP requests.
    • Servers that require a session ID SHOULD respond to requests without an Mcp-Session-Id header (other than initialization) with HTTP 400 Bad Request.
  3. The server MAY terminate the session at any time, after which it MUST respond to requests containing that session ID with HTTP 404 Not Found.
  4. When a client receives HTTP 404 in response to a request containing an Mcp-Session-Id, it MUST start a new session by sending a new InitializeRequest without a session ID attached.
  5. Clients that no longer need a particular session (e.g., because the user is leaving the client application) SHOULD send an HTTP DELETE to the MCP endpoint with the Mcp-Session-Id header, to explicitly terminate the session.
    • The server MAY respond to this request with HTTP 405 Method Not Allowed, indicating that the server does not allow clients to terminate sessions.
Sequence Diagram
ServerClientServerClientinitializationclient requestsloop[while connection remains open]alt[single HTTP response][server opens SSE stream]client notifications/responsesserver requestsloop[while connection remains open]POST InitializeRequestInitializeResponseMcp-Session-Id: 1868a90c...POST InitializedNotificationMcp-Session-Id: 1868a90c...202 AcceptedPOST ... request ...Mcp-Session-Id: 1868a90c...... response ...... SSE messages from server ...SSE event: ... response ...POST ... notification/response ...Mcp-Session-Id: 1868a90c...202 AcceptedGETMcp-Session-Id: 1868a90c...... SSE messages from server ...
Backwards Compatibility

Clients and servers can maintain backwards compatibility with the deprecated HTTP+SSE transport (from protocol version 2024-11-05) as follows:

Servers wanting to support older clients should:

  • Continue to host both the SSE and POST endpoints of the old transport, alongside the new "MCP endpoint" defined for the Streamable HTTP transport.
    • It is also possible to combine the old POST endpoint and the new MCP endpoint, but this may introduce unneeded complexity.

Clients wanting to support older servers should:

  1. Accept an MCP server URL from the user, which may point to either a server using the old transport or the new transport.
  2. Attempt to POST an InitializeRequest to the server URL, with an Accept header as defined above:
    • If it succeeds, the client can assume this is a server supporting the new Streamable HTTP transport.
    • If it fails with an HTTP 4xx status code (e.g., 405 Method Not Allowed or 404 Not Found):
      • Issue a GET request to the server URL, expecting that this will open an SSE stream and return an endpoint event as the first event.
      • When the endpoint event arrives, the client can assume this is a server running the old HTTP+SSE transport, and should use that transport for all subsequent communication.

Custom Transports

Clients and servers MAY implement additional custom transport mechanisms to suit their specific needs. The protocol is transport-agnostic and can be implemented over any communication channel that supports bidirectional message exchange.

Implementers who choose to support custom transports MUST ensure they preserve the JSON-RPC message format and lifecycle requirements defined by MCP. Custom transports SHOULD document their specific connection establishment and message exchange patterns to aid interoperability.

4.4 Authorization

Introduction

Purpose and Scope

The Model Context Protocol provides authorization capabilities at the transport level, enabling MCP clients to make requests to restricted MCP servers on behalf of resource owners. This specification defines the authorization flow for HTTP-based transports.

Protocol Requirements

Authorization is OPTIONAL for MCP implementations. When supported:

  • Implementations using an HTTP-based transport SHOULD conform to this specification.
  • Implementations using an STDIO transport SHOULD NOT follow this specification, and instead retrieve credentials from the environment.
  • Implementations using alternative transports MUST follow established security best practices for their protocol.
Standards Compliance

This authorization mechanism is based on established specifications listed below, but implements a selected subset of their features to ensure security and interoperability while maintaining simplicity:

Authorization Flow

Overview
  1. MCP auth implementations MUST implement OAuth 2.1 with appropriate security measures for both confidential and public clients.

  2. MCP auth implementations SHOULD support the OAuth 2.0 Dynamic Client Registration Protocol (RFC7591).

  3. MCP servers SHOULD and MCP clients MUST implement OAuth 2.0 Authorization Server Metadata (RFC8414). Servers that do not support Authorization Server Metadata MUST follow the default URI schema.

OAuth Grant Types

OAuth specifies different flows or grant types, which are different ways of obtaining an access token. Each of these targets different use cases and scenarios.

MCP servers SHOULD support the OAuth grant types that best align with the intended audience. For instance:

  1. Authorization Code: useful when the client is acting on behalf of a (human) end user.
    • For instance, an agent calls an MCP tool implemented by a SaaS system.
  2. Client Credentials: the client is another application (not a human)
    • For instance, an agent calls a secure MCP tool to check inventory at a specific store. No need to impersonate the end user.
Example: authorization code grant

This demonstrates the OAuth 2.1 flow for the authorization code grant type, used for user auth.

NOTE: The following example assumes the MCP server is also functioning as the authorization server. However, the authorization server may be deployed as its own distinct service.

A human user completes the OAuth flow through a web browser, obtaining an access token that identifies them personally and allows the client to act on their behalf.

When authorization is required and not yet proven by the client, servers MUST respond with HTTP 401 Unauthorized.

Clients initiate the OAuth 2.1 IETF DRAFT authorization flow after receiving the HTTP 401 Unauthorized.

The following demonstrates the basic OAuth 2.1 for public clients using PKCE.

MCP ServerClientUser-Agent (Browser)MCP ServerClientUser-Agent (Browser)Generate code_verifier and code_challengeUser logs in and authorizesBegin standard MCP message exchangeMCP RequestHTTP 401 UnauthorizedOpen browser with authorization URL + code_challengeGET /authorizeRedirect to callback URL with auth codeCallback with authorization codeToken Request with code + code_verifierAccess Token (+ Refresh Token)MCP Request with Access Token
Server Metadata Discovery

For server capability discovery:

  • MCP clients MUST follow the OAuth 2.0 Authorization Server Metadata protocol defined in RFC8414.
  • MCP server SHOULD follow the OAuth 2.0 Authorization Server Metadata protocol.
  • MCP servers that do not support the OAuth 2.0 Authorization Server Metadata protocol, MUST support fallback URLs.

The discovery flow is illustrated below:

ServerClientServerClientUse endpoints from metadataFall back to default endpointsalt[Discovery Success][Discovery Failed]Continue with authorization flowGET /.well-known/oauth-authorization-server200 OK + Metadata Document404 Not Found
Server Metadata Discovery Headers

MCP clients SHOULD include the header MCP-Protocol-Version: <protocol-version> during Server Metadata Discovery to allow the MCP server to respond based on the MCP protocol version.

For example: MCP-Protocol-Version: 2024-11-05

Authorization Base URL

The authorization base URL MUST be determined from the MCP server URL by discarding any existing path component. For example:

If the MCP server URL is https://api.example.com/v1/mcp, then:

  • The authorization base URL is https://api.example.com
  • The metadata endpoint MUST be at https://api.example.com/.well-known/oauth-authorization-server

This ensures authorization endpoints are consistently located at the root level of the domain hosting the MCP server, regardless of any path components in the MCP server URL.

Fallbacks for Servers without Metadata Discovery

For servers that do not implement OAuth 2.0 Authorization Server Metadata, clients MUST use the following default endpoint paths relative to the authorization base URL:

Endpoint Default Path Description
Authorization Endpoint /authorize Used for authorization requests
Token Endpoint /token Used for token exchange & refresh
Registration Endpoint /register Used for dynamic client registration

For example, with an MCP server hosted at https://api.example.com/v1/mcp, the default endpoints would be:

  • https://api.example.com/authorize
  • https://api.example.com/token
  • https://api.example.com/register

Clients MUST first attempt to discover endpoints via the metadata document before falling back to default paths. When using default paths, all other protocol requirements remain unchanged.

Dynamic Client Registration

MCP clients and servers SHOULD support the OAuth 2.0 Dynamic Client Registration Protocol to allow MCP clients to obtain OAuth client IDs without user interaction. This provides a standardized way for clients to automatically register with new servers, which is crucial for MCP because:

  • Clients cannot know all possible servers in advance
  • Manual registration would create friction for users
  • It enables seamless connection to new servers
  • Servers can implement their own registration policies

Any MCP servers that do not support Dynamic Client Registration need to provide alternative ways to obtain a client ID (and, if applicable, client secret). For one of these servers, MCP clients will have to either:

  1. Hardcode a client ID (and, if applicable, client secret) specifically for that MCP server, or
  2. Present a UI to users that allows them to enter these details, after registering an OAuth client themselves (e.g., through a configuration interface hosted by the server).
Authorization Flow Steps

The complete Authorization flow proceeds as follows:

MCP ServerClientUser-Agent (Browser)MCP ServerClientUser-Agent (Browser)alt[Server Supports Discovery][No Discovery]alt[Dynamic Client Registration]Generate PKCE ParametersUser /authorizesGET /.well-known/oauth-authorization-serverAuthorization Server Metadata404 (Use default endpoints)POST /registerClient CredentialsOpen browser with authorization URL + code_challengeAuthorization RequestRedirect to callback with authorization codeAuthorization code callbackToken Request + code_verifierAccess Token (+ Refresh Token)API Requests with Access Token
Decision Flow Overview
AvailableNot AvailableAvailableNot AvailableStart AuthFlowCheckMetadataDiscoveryUse MetadataEndpointsUse DefaultEndpointsCheckRegistrationEndpointPerformDynamicRegistrationAlternativeRegistrationRequiredStart OAuthFlowGeneratePKCEParametersRequestAuthorizationUserAuthorizationExchangeCode forTokensUse AccessToken
Access Token Usage
Token Requirements

Access token handling MUST conform to OAuth 2.1 Section 5 requirements for resource requests. Specifically:

  1. MCP client MUST use the Authorization request header field Section 5.1.1:
Authorization: Bearer <access-token>

Note that authorization MUST be included in every HTTP request from client to server, even if they are part of the same logical session.

  1. Access tokens MUST NOT be included in the URI query string

Example request:

GET /v1/contexts HTTP/1.1
Host: mcp.example.com
Authorization: Bearer eyJhbGciOiJIUzI1NiIs...
Token Handling

Resource servers MUST validate access tokens as described in Section 5.2. If validation fails, servers MUST respond according to Section 5.3 error handling requirements. Invalid or expired tokens MUST receive a HTTP 401 response.

Security Considerations

The following security requirements MUST be implemented:

  1. Clients MUST securely store tokens following OAuth 2.0 best practices
  2. Servers SHOULD enforce token expiration and rotation
  3. All authorization endpoints MUST be served over HTTPS
  4. Servers MUST validate redirect URIs to prevent open redirect vulnerabilities
  5. Redirect URIs MUST be either localhost URLs or HTTPS URLs
Error Handling

Servers MUST return appropriate HTTP status codes for authorization errors:

Status Code Description Usage
401 Unauthorized Authorization required or token invalid
403 Forbidden Invalid scopes or insufficient permissions
400 Bad Request Malformed authorization request
Implementation Requirements
  1. Implementations MUST follow OAuth 2.1 security best practices
  2. PKCE is REQUIRED for all clients
  3. Token rotation SHOULD be implemented for enhanced security
  4. Token lifetimes SHOULD be limited based on security requirements
Third-Party Authorization Flow
Overview

MCP servers MAY support delegated authorization through third-party authorization servers. In this flow, the MCP server acts as both an OAuth client (to the third-party auth server) and an OAuth authorization server (to the MCP client).

Flow Description

The third-party authorization flow comprises these steps:

  1. MCP client initiates standard OAuth flow with MCP server
  2. MCP server redirects user to third-party authorization server
  3. User authorizes with third-party server
  4. Third-party server redirects back to MCP server with authorization code
  5. MCP server exchanges code for third-party access token
  6. MCP server generates its own access token bound to the third-party session
  7. MCP server completes original OAuth flow with MCP client
Third-Party Auth ServerMCP ServerMCP ClientUser-Agent (Browser)Third-Party Auth ServerMCP ServerMCP ClientUser-Agent (Browser)User authorizesGenerate bound MCP tokenInitial OAuth RequestRedirect to Third-Party /authorizeAuthorization RequestRedirect to MCP Server callbackAuthorization codeExchange code for tokenThird-party access tokenRedirect to MCP Client callbackMCP authorization codeExchange code for tokenMCP access token
Session Binding Requirements

MCP servers implementing third-party authorization MUST:

  1. Maintain secure mapping between third-party tokens and issued MCP tokens
  2. Validate third-party token status before honoring MCP tokens
  3. Implement appropriate token lifecycle management
  4. Handle third-party token expiration and renewal
Security Considerations

When implementing third-party authorization, servers MUST:

  1. Validate all redirect URIs
  2. Securely store third-party credentials
  3. Implement appropriate session timeout handling
  4. Consider security implications of token chaining
  5. Implement proper error handling for third-party auth failures

Best Practices

Local clients as Public OAuth 2.1 Clients

We strongly recommend that local clients implement OAuth 2.1 as a public client:

  1. Utilizing code challenges (PKCE) for authorization requests to prevent interception attacks
  2. Implementing secure token storage appropriate for the local system
  3. Following token refresh best practices to maintain sessions
  4. Properly handling token expiration and renewal
Authorization Metadata Discovery

We strongly recommend that all clients implement metadata discovery. This reduces the need for users to provide endpoints manually or clients to fallback to the defined defaults.

Dynamic Client Registration

Since clients do not know the set of MCP servers in advance, we strongly recommend the implementation of dynamic client registration. This allows applications to automatically register with the MCP server, and removes the need for users to obtain client ids manually.

4.5 Utilities

4.5.1 Cancellation

The Model Context Protocol (MCP) supports optional cancellation of in-progress requests through notification messages. Either side can send a cancellation notification to indicate that a previously-issued request should be terminated.

Cancellation Flow

When a party wants to cancel an in-progress request, it sends a notifications/cancelled notification containing:

  • The ID of the request to cancel
  • An optional reason string that can be logged or displayed
{
  "jsonrpc": "2.0",
  "method": "notifications/cancelled",
  "params": {
    "requestId": "123",
    "reason": "User requested cancellation"
  }
}
Behavior Requirements
  1. Cancellation notifications MUST only reference requests that:
    • Were previously issued in the same direction
    • Are believed to still be in-progress
  2. The initialize request MUST NOT be cancelled by clients
  3. Receivers of cancellation notifications SHOULD:
    • Stop processing the cancelled request
    • Free associated resources
    • Not send a response for the cancelled request
  4. Receivers MAY ignore cancellation notifications if:
    • The referenced request is unknown
    • Processing has already completed
    • The request cannot be cancelled
  5. The sender of the cancellation notification SHOULD ignore any response to the request that arrives afterward
Timing Considerations

Due to network latency, cancellation notifications may arrive after request processing has completed, and potentially after a response has already been sent.

Both parties MUST handle these race conditions gracefully:

ServerClientServerClientProcessing startsProcessing may havecompleted beforecancellation arrivesStop processingalt[If notcompleted]Request (ID: 123)notifications/cancelled (ID: 123)
Implementation Notes
  • Both parties SHOULD log cancellation reasons for debugging
  • Application UIs SHOULD indicate when cancellation is requested
Error Handling

Invalid cancellation notifications SHOULD be ignored:

  • Unknown request IDs
  • Already completed requests
  • Malformed notifications

This maintains the "fire and forget" nature of notifications while allowing for race conditions in asynchronous communication.

4.5.2 Ping

The Model Context Protocol includes an optional ping mechanism that allows either party to verify that their counterpart is still responsive and the connection is alive.

Overview

The ping functionality is implemented through a simple request/response pattern. Either the client or server can initiate a ping by sending a ping request.

Message Format

A ping request is a standard JSON-RPC request with no parameters:

{
  "jsonrpc": "2.0",
  "id": "123",
  "method": "ping"
}
Behavior Requirements
  1. The receiver MUST respond promptly with an empty response:
{
  "jsonrpc": "2.0",
  "id": "123",
  "result": {}
}
  1. If no response is received within a reasonable timeout period, the sender MAY:
    • Consider the connection stale
    • Terminate the connection
    • Attempt reconnection procedures
Usage Patterns
ReceiverSenderReceiverSenderping requestempty response
Implementation Considerations
  • Implementations SHOULD periodically issue pings to detect connection health
  • The frequency of pings SHOULD be configurable
  • Timeouts SHOULD be appropriate for the network environment
  • Excessive pinging SHOULD be avoided to reduce network overhead
Error Handling
  • Timeouts SHOULD be treated as connection failures
  • Multiple failed pings MAY trigger connection reset
  • Implementations SHOULD log ping failures for diagnostics

4.5.3 Progress

The Model Context Protocol (MCP) supports optional progress tracking for long-running operations through notification messages. Either side can send progress notifications to provide updates about operation status.

Progress Flow

When a party wants to receive progress updates for a request, it includes a progressToken in the request metadata.

  • Progress tokens MUST be a string or integer value
  • Progress tokens can be chosen by the sender using any means, but MUST be unique across all active requests.
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "some_method",
  "params": {
    "_meta": {
      "progressToken": "abc123"
    }
  }
}

The receiver MAY then send progress notifications containing:

  • The original progress token
  • The current progress value so far
  • An optional "total" value
  • An optional "message" value
{
  "jsonrpc": "2.0",
  "method": "notifications/progress",
  "params": {
    "progressToken": "abc123",
    "progress": 50,
    "total": 100,
    "message": "Reticulating splines..."
  }
}
  • The progress value MUST increase with each notification, even if the total is unknown.
  • The progress and the total values MAY be floating point.
  • The message field SHOULD provide relevant human readable progress information.
Behavior Requirements
  1. Progress notifications MUST only reference tokens that:

    • Were provided in an active request
    • Are associated with an in-progress operation
  2. Receivers of progress requests MAY:

    • Choose not to send any progress notifications
    • Send notifications at whatever frequency they deem appropriate
    • Omit the total value if unknown
ReceiverSenderReceiverSenderRequest with progress tokenProgress updatesloop[Progress Updates]Operation completeMethod request with progressTokenProgress notification (0.2/1.0)Progress notification (0.6/1.0)Progress notification (1.0/1.0)Method response
Implementation Notes
  • Senders and receivers SHOULD track active progress tokens
  • Both parties SHOULD implement rate limiting to prevent flooding
  • Progress notifications MUST stop after completion

5 Client Features

5.1 Roots

The Model Context Protocol (MCP) provides a standardized way for clients to expose filesystem "roots" to servers. Roots define the boundaries of where servers can operate within the filesystem, allowing them to understand which directories and files they have access to. Servers can request the list of roots from supporting clients and receive notifications when that list changes.

User Interaction Model

Roots in MCP are typically exposed through workspace or project configuration interfaces.

For example, implementations could offer a workspace/project picker that allows users to select directories and files the server should have access to. This can be combined with automatic workspace detection from version control systems or project files.

However, implementations are free to expose roots through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Clients that support roots MUST declare the roots capability during initialization:

{
  "capabilities": {
    "roots": {
      "listChanged": true
    }
  }
}

listChanged indicates whether the client will emit notifications when the list of roots changes.

Protocol Messages

Listing Roots

To retrieve roots, servers send a roots/list request:

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "roots/list"
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "roots": [
      {
        "uri": "file:///home/user/projects/myproject",
        "name": "My Project"
      }
    ]
  }
}
Root List Changes

When roots change, clients that support listChanged MUST send a notification:

{
  "jsonrpc": "2.0",
  "method": "notifications/roots/list_changed"
}

Message Flow

ClientServerClientServerDiscoveryChangesroots/listAvailable rootsnotifications/roots/list_changedroots/listUpdated roots

Data Types

Root

A root definition includes:

  • uri: Unique identifier for the root. This MUST be a file:// URI in the current specification.
  • name: Optional human-readable name for display purposes.

Example roots for different use cases:

Project Directory
{
  "uri": "file:///home/user/projects/myproject",
  "name": "My Project"
}
Multiple Repositories
[
  {
    "uri": "file:///home/user/repos/frontend",
    "name": "Frontend Repository"
  },
  {
    "uri": "file:///home/user/repos/backend",
    "name": "Backend Repository"
  }
]

Error Handling

Clients SHOULD return standard JSON-RPC errors for common failure cases:

  • Client does not support roots: -32601 (Method not found)
  • Internal errors: -32603

Example error:

{
  "jsonrpc": "2.0",
  "id": 1,
  "error": {
    "code": -32601,
    "message": "Roots not supported",
    "data": {
      "reason": "Client does not have roots capability"
    }
  }
}

Security Considerations

  1. Clients MUST:

    • Only expose roots with appropriate permissions
    • Validate all root URIs to prevent path traversal
    • Implement proper access controls
    • Monitor root accessibility
  2. Servers SHOULD:

    • Handle cases where roots become unavailable
    • Respect root boundaries during operations
    • Validate all paths against provided roots

Implementation Guidelines

  1. Clients SHOULD:

    • Prompt users for consent before exposing roots to servers
    • Provide clear user interfaces for root management
    • Validate root accessibility before exposing
    • Monitor for root changes
  2. Servers SHOULD:

    • Check for roots capability before usage
    • Handle root list changes gracefully
    • Respect root boundaries in operations
    • Cache root information appropriately

5.2 Sampling

The Model Context Protocol (MCP) provides a standardized way for servers to request LLM sampling ("completions" or "generations") from language models via clients. This flow allows clients to maintain control over model access, selection, and permissions while enabling servers to leverage AI capabilities—with no server API keys necessary. Servers can request text, audio, or image-based interactions and optionally include context from MCP servers in their prompts.

User Interaction Model

Sampling in MCP allows servers to implement agentic behaviors, by enabling LLM calls to occur nested inside other MCP server features.

Implementations are free to expose sampling through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Clients that support sampling MUST declare the sampling capability during initialization:

{
  "capabilities": {
    "sampling": {}
  }
}

Protocol Messages

Creating Messages

To request a language model generation, servers send a sampling/createMessage request:

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "sampling/createMessage",
  "params": {
    "messages": [
      {
        "role": "user",
        "content": {
          "type": "text",
          "text": "What is the capital of France?"
        }
      }
    ],
    "modelPreferences": {
      "hints": [
        {
          "name": "claude-3-sonnet"
        }
      ],
      "intelligencePriority": 0.8,
      "speedPriority": 0.5
    },
    "systemPrompt": "You are a helpful assistant.",
    "maxTokens": 100
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "role": "assistant",
    "content": {
      "type": "text",
      "text": "The capital of France is Paris."
    },
    "model": "claude-3-sonnet-20240307",
    "stopReason": "endTurn"
  }
}

Message Flow

LLMUserClientServerLLMUserClientServerServer initiates samplingHuman-in-the-loop reviewModel interactionResponse reviewComplete requestsampling/createMessagePresent request for approvalReview and approve/modifyForward approved requestReturn generationPresent response for approvalReview and approve/modifyReturn approved response

Data Types

Messages

Sampling messages can contain:

Text Content
{
  "type": "text",
  "text": "The message content"
}
Image Content
{
  "type": "image",
  "data": "base64-encoded-image-data",
  "mimeType": "image/jpeg"
}
Audio Content
{
  "type": "audio",
  "data": "base64-encoded-audio-data",
  "mimeType": "audio/wav"
}
Model Preferences

Model selection in MCP requires careful abstraction since servers and clients may use different AI providers with distinct model offerings. A server cannot simply request a specific model by name since the client may not have access to that exact model or may prefer to use a different provider's equivalent model.

To solve this, MCP implements a preference system that combines abstract capability priorities with optional model hints:

Capability Priorities

Servers express their needs through three normalized priority values (0-1):

  • costPriority: How important is minimizing costs? Higher values prefer cheaper models.
  • speedPriority: How important is low latency? Higher values prefer faster models.
  • intelligencePriority: How important are advanced capabilities? Higher values prefer more capable models.
Model Hints

While priorities help select models based on characteristics, hints allow servers to suggest specific models or model families:

  • Hints are treated as substrings that can match model names flexibly
  • Multiple hints are evaluated in order of preference
  • Clients MAY map hints to equivalent models from different providers
  • Hints are advisory—clients make final model selection

For example:

{
  "hints": [
    { "name": "claude-3-sonnet" }, // Prefer Sonnet-class models
    { "name": "claude" } // Fall back to any Claude model
  ],
  "costPriority": 0.3, // Cost is less important
  "speedPriority": 0.8, // Speed is very important
  "intelligencePriority": 0.5 // Moderate capability needs
}

The client processes these preferences to select an appropriate model from its available options. For instance, if the client doesn't have access to Claude models but has Gemini, it might map the sonnet hint to gemini-1.5-pro based on similar capabilities.

Error Handling

Clients SHOULD return errors for common failure cases:

Example error:

{
  "jsonrpc": "2.0",
  "id": 1,
  "error": {
    "code": -1,
    "message": "User rejected sampling request"
  }
}

Security Considerations

  1. Clients SHOULD implement user approval controls
  2. Both parties SHOULD validate message content
  3. Clients SHOULD respect model preference hints
  4. Clients SHOULD implement rate limiting
  5. Both parties MUST handle sensitive data appropriately

6 Server Features

6.1 Overview

Servers provide the fundamental building blocks for adding context to language models via MCP. These primitives enable rich interactions between clients, servers, and language models:

  • Prompts: Pre-defined templates or instructions that guide language model interactions
  • Resources: Structured data or content that provides additional context to the model
  • Tools: Executable functions that allow models to perform actions or retrieve information

Each primitive can be summarized in the following control hierarchy:

Primitive Control Description Example
Prompts User-controlled Interactive templates invoked by user choice Slash commands, menu options
Resources Application-controlled Contextual data attached and managed by the client File contents, git history
Tools Model-controlled Functions exposed to the LLM to take actions API POST requests, file writing

Explore these key primitives in more detail below:

6.2 Prompts

The Model Context Protocol (MCP) provides a standardized way for servers to expose prompt templates to clients. Prompts allow servers to provide structured messages and instructions for interacting with language models. Clients can discover available prompts, retrieve their contents, and provide arguments to customize them.

User Interaction Model

Prompts are designed to be user-controlled, meaning they are exposed from servers to clients with the intention of the user being able to explicitly select them for use.

Typically, prompts would be triggered through user-initiated commands in the user interface, which allows users to naturally discover and invoke available prompts.

For example, as slash commands:

Example of prompt exposed as slash command

However, implementors are free to expose prompts through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Servers that support prompts MUST declare the prompts capability during initialization:

{
  "capabilities": {
    "prompts": {
      "listChanged": true
    }
  }
}

listChanged indicates whether the server will emit notifications when the list of available prompts changes.

Protocol Messages

Listing Prompts

To retrieve available prompts, clients send a prompts/list request. This operation supports pagination.

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "prompts/list",
  "params": {
    "cursor": "optional-cursor-value"
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "prompts": [
      {
        "name": "code_review",
        "description": "Asks the LLM to analyze code quality and suggest improvements",
        "arguments": [
          {
            "name": "code",
            "description": "The code to review",
            "required": true
          }
        ]
      }
    ],
    "nextCursor": "next-page-cursor"
  }
}
Getting a Prompt

To retrieve a specific prompt, clients send a prompts/get request. Arguments may be auto-completed through the completion API.

Request:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "prompts/get",
  "params": {
    "name": "code_review",
    "arguments": {
      "code": "def hello():\n    print('world')"
    }
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "description": "Code review prompt",
    "messages": [
      {
        "role": "user",
        "content": {
          "type": "text",
          "text": "Please review this Python code:\ndef hello():\n    print('world')"
        }
      }
    ]
  }
}
List Changed Notification

When the list of available prompts changes, servers that declared the listChanged capability SHOULD send a notification:

{
  "jsonrpc": "2.0",
  "method": "notifications/prompts/list_changed"
}

Message Flow

ServerClientServerClientDiscoveryUsageChangesopt[listChanged]prompts/listList of promptsprompts/getPrompt contentprompts/list_changedprompts/listUpdated prompts

Data Types

Prompt

A prompt definition includes:

  • name: Unique identifier for the prompt
  • description: Optional human-readable description
  • arguments: Optional list of arguments for customization
PromptMessage

Messages in a prompt can contain:

  • role: Either "user" or "assistant" to indicate the speaker
  • content: One of the following content types:
Text Content

Text content represents plain text messages:

{
  "type": "text",
  "text": "The text content of the message"
}

This is the most common content type used for natural language interactions.

Image Content

Image content allows including visual information in messages:

{
  "type": "image",
  "data": "base64-encoded-image-data",
  "mimeType": "image/png"
}

The image data MUST be base64-encoded and include a valid MIME type. This enables multi-modal interactions where visual context is important.

Audio Content

Audio content allows including audio information in messages:

{
  "type": "audio",
  "data": "base64-encoded-audio-data",
  "mimeType": "audio/wav"
}

The audio data MUST be base64-encoded and include a valid MIME type. This enables multi-modal interactions where audio context is important.

Embedded Resources

Embedded resources allow referencing server-side resources directly in messages:

{
  "type": "resource",
  "resource": {
    "uri": "resource://example",
    "mimeType": "text/plain",
    "text": "Resource content"
  }
}

Resources can contain either text or binary (blob) data and MUST include:

  • A valid resource URI
  • The appropriate MIME type
  • Either text content or base64-encoded blob data

Embedded resources enable prompts to seamlessly incorporate server-managed content like documentation, code samples, or other reference materials directly into the conversation flow.

Error Handling

Servers SHOULD return standard JSON-RPC errors for common failure cases:

  • Invalid prompt name: -32602 (Invalid params)
  • Missing required arguments: -32602 (Invalid params)
  • Internal errors: -32603 (Internal error)

Implementation Considerations

  1. Servers SHOULD validate prompt arguments before processing
  2. Clients SHOULD handle pagination for large prompt lists
  3. Both parties SHOULD respect capability negotiation

Security

Implementations MUST carefully validate all prompt inputs and outputs to prevent injection attacks or unauthorized access to resources.

6.3 Resources

The Model Context Protocol (MCP) provides a standardized way for servers to expose resources to clients. Resources allow servers to share data that provides context to language models, such as files, database schemas, or application-specific information. Each resource is uniquely identified by a URI.

User Interaction Model

Resources in MCP are designed to be application-driven, with host applications determining how to incorporate context based on their needs.

For example, applications could:

  • Expose resources through UI elements for explicit selection, in a tree or list view
  • Allow the user to search through and filter available resources
  • Implement automatic context inclusion, based on heuristics or the AI model's selection

Example of resource context picker

However, implementations are free to expose resources through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Servers that support resources MUST declare the resources capability:

{
  "capabilities": {
    "resources": {
      "subscribe": true,
      "listChanged": true
    }
  }
}

The capability supports two optional features:

  • subscribe: whether the client can subscribe to be notified of changes to individual resources.
  • listChanged: whether the server will emit notifications when the list of available resources changes.

Both subscribe and listChanged are optional—servers can support neither, either, or both:

{
  "capabilities": {
    "resources": {} // Neither feature supported
  }
}
{
  "capabilities": {
    "resources": {
      "subscribe": true // Only subscriptions supported
    }
  }
}
{
  "capabilities": {
    "resources": {
      "listChanged": true // Only list change notifications supported
    }
  }
}

Protocol Messages

Listing Resources

To discover available resources, clients send a resources/list request. This operation supports pagination.

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "resources/list",
  "params": {
    "cursor": "optional-cursor-value"
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "resources": [
      {
        "uri": "file:///project/src/main.rs",
        "name": "main.rs",
        "description": "Primary application entry point",
        "mimeType": "text/x-rust"
      }
    ],
    "nextCursor": "next-page-cursor"
  }
}
Reading Resources

To retrieve resource contents, clients send a resources/read request:

Request:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "resources/read",
  "params": {
    "uri": "file:///project/src/main.rs"
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "contents": [
      {
        "uri": "file:///project/src/main.rs",
        "mimeType": "text/x-rust",
        "text": "fn main() {\n    println!(\"Hello world!\");\n}"
      }
    ]
  }
}
Resource Templates

Resource templates allow servers to expose parameterized resources using URI templates. Arguments may be auto-completed through the completion API. This operation supports pagination.

Request:

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "resources/templates/list",
  "params": {
    "cursor": "optional-cursor-value"
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 3,
  "result": {
    "resourceTemplates": [
      {
        "uriTemplate": "file:///{path}",
        "name": "Project Files",
        "description": "Access files in the project directory",
        "mimeType": "application/octet-stream"
      }
    ],
    "nextCursor": "next-page-cursor"
  }
}
List Changed Notification

When the list of available resources changes, servers that declared the listChanged capability SHOULD send a notification:

{
  "jsonrpc": "2.0",
  "method": "notifications/resources/list_changed"
}
Subscriptions

The protocol supports optional subscriptions to resource changes. Clients can subscribe to specific resources and receive notifications when they change:

Subscribe Request:

{
  "jsonrpc": "2.0",
  "id": 4,
  "method": "resources/subscribe",
  "params": {
    "uri": "file:///project/src/main.rs"
  }
}

Update Notification:

{
  "jsonrpc": "2.0",
  "method": "notifications/resources/updated",
  "params": {
    "uri": "file:///project/src/main.rs"
  }
}

Message Flow

ServerClientServerClientResource DiscoveryResource Template DiscoveryResource AccessSubscriptionsUpdatesresources/listList of resourcesresources/templates/listList of resource templatesresources/readResource contentsresources/subscribeSubscription confirmednotifications/resources/updatedresources/readUpdated contents

Data Types

Resource

A resource definition includes:

  • uri: Unique identifier for the resource
  • name: Human-readable name
  • description: Optional description
  • mimeType: Optional MIME type
  • size: Optional size in bytes
Resource Contents

Resources can contain either text or binary data:

Text Content
{
  "uri": "file:///example.txt",
  "mimeType": "text/plain",
  "text": "Resource content"
}
Binary Content
{
  "uri": "file:///example.png",
  "mimeType": "image/png",
  "blob": "base64-encoded-data"
}

Common URI Schemes

The protocol defines several standard URI schemes. This list not exhaustive—implementations are always free to use additional, custom URI schemes.

https://

Used to represent a resource available on the web.

Servers SHOULD use this scheme only when the client is able to fetch and load the resource directly from the web on its own—that is, it doesn’t need to read the resource via the MCP server.

For other use cases, servers SHOULD prefer to use another URI scheme, or define a custom one, even if the server will itself be downloading resource contents over the internet.

file://

Used to identify resources that behave like a filesystem. However, the resources do not need to map to an actual physical filesystem.

MCP servers MAY identify file:// resources with an XDG MIME type, like inode/directory, to represent non-regular files (such as directories) that don’t otherwise have a standard MIME type.

git://

Git version control integration.

Error Handling

Servers SHOULD return standard JSON-RPC errors for common failure cases:

  • Resource not found: -32002
  • Internal errors: -32603

Example error:

{
  "jsonrpc": "2.0",
  "id": 5,
  "error": {
    "code": -32002,
    "message": "Resource not found",
    "data": {
      "uri": "file:///nonexistent.txt"
    }
  }
}

Security Considerations

  1. Servers MUST validate all resource URIs
  2. Access controls SHOULD be implemented for sensitive resources
  3. Binary data MUST be properly encoded
  4. Resource permissions SHOULD be checked before operations

6.4 Tools

The Model Context Protocol (MCP) allows servers to expose tools that can be invoked by language models. Tools enable models to interact with external systems, such as querying databases, calling APIs, or performing computations. Each tool is uniquely identified by a name and includes metadata describing its schema.

User Interaction Model

Tools in MCP are designed to be model-controlled, meaning that the language model can discover and invoke tools automatically based on its contextual understanding and the user's prompts.

However, implementations are free to expose tools through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Servers that support tools MUST declare the tools capability:

{
  "capabilities": {
    "tools": {
      "listChanged": true
    }
  }
}

listChanged indicates whether the server will emit notifications when the list of available tools changes.

Protocol Messages

Listing Tools

To discover available tools, clients send a tools/list request. This operation supports pagination.

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list",
  "params": {
    "cursor": "optional-cursor-value"
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "tools": [
      {
        "name": "get_weather",
        "description": "Get current weather information for a location",
        "inputSchema": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "City name or zip code"
            }
          },
          "required": ["location"]
        }
      }
    ],
    "nextCursor": "next-page-cursor"
  }
}
Calling Tools

To invoke a tool, clients send a tools/call request:

Request:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "get_weather",
    "arguments": {
      "location": "New York"
    }
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "Current weather in New York:\nTemperature: 72°F\nConditions: Partly cloudy"
      }
    ],
    "isError": false
  }
}
List Changed Notification

When the list of available tools changes, servers that declared the listChanged capability SHOULD send a notification:

{
  "jsonrpc": "2.0",
  "method": "notifications/tools/list_changed"
}

Message Flow

ServerClientLLMServerClientLLMDiscoveryTool SelectionInvocationUpdatestools/listList of toolsSelect tool to usetools/callTool resultProcess resulttools/list_changedtools/listUpdated tools

Data Types

Tool

A tool definition includes:

  • name: Unique identifier for the tool
  • description: Human-readable description of functionality
  • inputSchema: JSON Schema defining expected parameters
  • annotations: optional properties describing tool behavior
Tool Result

Tool results can contain multiple content items of different types:

Text Content
{
  "type": "text",
  "text": "Tool result text"
}
Image Content
{
  "type": "image",
  "data": "base64-encoded-data",
  "mimeType": "image/png"
}
Audio Content
{
  "type": "audio",
  "data": "base64-encoded-audio-data",
  "mimeType": "audio/wav"
}
Embedded Resources

Resources MAY be embedded, to provide additional context or data, behind a URI that can be subscribed to or fetched again by the client later:

{
  "type": "resource",
  "resource": {
    "uri": "resource://example",
    "mimeType": "text/plain",
    "text": "Resource content"
  }
}

Error Handling

Tools use two error reporting mechanisms:

  1. Protocol Errors: Standard JSON-RPC errors for issues like:

    • Unknown tools
    • Invalid arguments
    • Server errors
  2. Tool Execution Errors: Reported in tool results with isError: true:

    • API failures
    • Invalid input data
    • Business logic errors

Example protocol error:

{
  "jsonrpc": "2.0",
  "id": 3,
  "error": {
    "code": -32602,
    "message": "Unknown tool: invalid_tool_name"
  }
}

Example tool execution error:

{
  "jsonrpc": "2.0",
  "id": 4,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "Failed to fetch weather data: API rate limit exceeded"
      }
    ],
    "isError": true
  }
}

Security Considerations

  1. Servers MUST:

    • Validate all tool inputs
    • Implement proper access controls
    • Rate limit tool invocations
    • Sanitize tool outputs
  2. Clients SHOULD:

    • Prompt for user confirmation on sensitive operations
    • Show tool inputs to the user before calling the server, to avoid malicious or accidental data exfiltration
    • Validate tool results before passing to LLM
    • Implement timeouts for tool calls
    • Log tool usage for audit purposes

6.5 Utilities

6.5.1 Completion

The Model Context Protocol (MCP) provides a standardized way for servers to offer argument autocompletion suggestions for prompts and resource URIs. This enables rich, IDE-like experiences where users receive contextual suggestions while entering argument values.

User Interaction Model

Completion in MCP is designed to support interactive user experiences similar to IDE code completion.

For example, applications may show completion suggestions in a dropdown or popup menu as users type, with the ability to filter and select from available options.

However, implementations are free to expose completion through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Servers that support completions MUST declare the completions capability:

{
  "capabilities": {
    "completions": {}
  }
}
Protocol Messages
Requesting Completions

To get completion suggestions, clients send a completion/complete request specifying what is being completed through a reference type:

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "completion/complete",
  "params": {
    "ref": {
      "type": "ref/prompt",
      "name": "code_review"
    },
    "argument": {
      "name": "language",
      "value": "py"
    }
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "completion": {
      "values": ["python", "pytorch", "pyside"],
      "total": 10,
      "hasMore": true
    }
  }
}
Reference Types

The protocol supports two types of completion references:

Type Description Example
ref/prompt References a prompt by name {"type": "ref/prompt", "name": "code_review"}
ref/resource References a resource URI {"type": "ref/resource", "uri": "file:///{path}"}
Completion Results

Servers return an array of completion values ranked by relevance, with:

  • Maximum 100 items per response
  • Optional total number of available matches
  • Boolean indicating if additional results exist
Message Flow
ServerClientServerClientUser types argumentUser continues typingcompletion/completeCompletion suggestionscompletion/completeRefined suggestions
Data Types
CompleteRequest
  • ref: A PromptReference or ResourceReference
  • argument: Object containing:
    • name: Argument name
    • value: Current value
CompleteResult
  • completion: Object containing:
    • values: Array of suggestions (max 100)
    • total: Optional total matches
    • hasMore: Additional results flag
Error Handling

Servers SHOULD return standard JSON-RPC errors for common failure cases:

  • Method not found: -32601 (Capability not supported)
  • Invalid prompt name: -32602 (Invalid params)
  • Missing required arguments: -32602 (Invalid params)
  • Internal errors: -32603 (Internal error)
Implementation Considerations
  1. Servers SHOULD:

    • Return suggestions sorted by relevance
    • Implement fuzzy matching where appropriate
    • Rate limit completion requests
    • Validate all inputs
  2. Clients SHOULD:

    • Debounce rapid completion requests
    • Cache completion results where appropriate
    • Handle missing or partial results gracefully
Security

Implementations MUST:

  • Validate all completion inputs
  • Implement appropriate rate limiting
  • Control access to sensitive suggestions
  • Prevent completion-based information disclosure

6.5.2 Logging

The Model Context Protocol (MCP) provides a standardized way for servers to send structured log messages to clients. Clients can control logging verbosity by setting minimum log levels, with servers sending notifications containing severity levels, optional logger names, and arbitrary JSON-serializable data.

User Interaction Model

Implementations are free to expose logging through any interface pattern that suits their needs—the protocol itself does not mandate any specific user interaction model.

Capabilities

Servers that emit log message notifications MUST declare the logging capability:

{
  "capabilities": {
    "logging": {}
  }
}
Log Levels

The protocol follows the standard syslog severity levels specified in RFC 5424:

Level Description Example Use Case
debug Detailed debugging information Function entry/exit points
info General informational messages Operation progress updates
notice Normal but significant events Configuration changes
warning Warning conditions Deprecated feature usage
error Error conditions Operation failures
critical Critical conditions System component failures
alert Action must be taken immediately Data corruption detected
emergency System is unusable Complete system failure
Protocol Messages
Setting Log Level

To configure the minimum log level, clients MAY send a logging/setLevel request:

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "logging/setLevel",
  "params": {
    "level": "info"
  }
}
Log Message Notifications

Servers send log messages using notifications/message notifications:

{
  "jsonrpc": "2.0",
  "method": "notifications/message",
  "params": {
    "level": "error",
    "logger": "database",
    "data": {
      "error": "Connection failed",
      "details": {
        "host": "localhost",
        "port": 5432
      }
    }
  }
}
Message Flow
ServerClientServerClientConfigure LoggingServer ActivityLevel ChangeOnly sends error leveland abovelogging/setLevel (info)Empty Resultnotifications/message (info)notifications/message (warning)notifications/message (error)logging/setLevel (error)Empty Result
Error Handling

Servers SHOULD return standard JSON-RPC errors for common failure cases:

  • Invalid log level: -32602 (Invalid params)
  • Configuration errors: -32603 (Internal error)
Implementation Considerations
  1. Servers SHOULD:

    • Rate limit log messages
    • Include relevant context in data field
    • Use consistent logger names
    • Remove sensitive information
  2. Clients MAY:

    • Present log messages in the UI
    • Implement log filtering/search
    • Display severity visually
    • Persist log messages
Security
  1. Log messages MUST NOT contain:

    • Credentials or secrets
    • Personal identifying information
    • Internal system details that could aid attacks
  2. Implementations SHOULD:

    • Rate limit messages
    • Validate all data fields
    • Control log access
    • Monitor for sensitive content

6.5.3 Pagination

The Model Context Protocol (MCP) supports paginating list operations that may return large result sets. Pagination allows servers to yield results in smaller chunks rather than all at once.

Pagination is especially important when connecting to external services over the internet, but also useful for local integrations to avoid performance issues with large data sets.

Pagination Model

Pagination in MCP uses an opaque cursor-based approach, instead of numbered pages.

  • The cursor is an opaque string token, representing a position in the result set
  • Page size is determined by the server, and clients MUST NOT assume a fixed page size
Response Format

Pagination starts when the server sends a response that includes:

  • The current page of results
  • An optional nextCursor field if more results exist
{
  "jsonrpc": "2.0",
  "id": "123",
  "result": {
    "resources": [...],
    "nextCursor": "eyJwYWdlIjogM30="
  }
}
Request Format

After receiving a cursor, the client can continue paginating by issuing a request including that cursor:

{
  "jsonrpc": "2.0",
  "method": "resources/list",
  "params": {
    "cursor": "eyJwYWdlIjogMn0="
  }
}
Pagination Flow
ServerClientServerClientloop[Pagination Loop]List Request (no cursor)Page of results + nextCursorList Request (with cursor)
Operations Supporting Pagination

The following MCP operations support pagination:

  • resources/list - List available resources
  • resources/templates/list - List resource templates
  • prompts/list - List available prompts
  • tools/list - List available tools
Implementation Guidelines
  1. Servers SHOULD:

    • Provide stable cursors
    • Handle invalid cursors gracefully
  2. Clients SHOULD:

    • Treat a missing nextCursor as the end of results
    • Support both paginated and non-paginated flows
  3. Clients MUST treat cursors as opaque tokens:

    • Don't make assumptions about cursor format
    • Don't attempt to parse or modify cursors
    • Don't persist cursors across sessions
Error Handling

Invalid cursors SHOULD result in an error with code -32602 (Invalid params).