Model Context Protocol llms.txt · AI Docs Browser · mdream

[llms.txt Tools](https://mdream.dev/llms-txt/servers/llms-txt)

# Model Context Protocol llms.txt

Browse Model Context Protocol documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

modelcontextprotocol.io/llms.txt

[Raw llms.txt](https://modelcontextprotocol.io/llms.txt) [Raw llms-full.txt](https://modelcontextprotocol.io/llms-full.txt)

Copy Markdown [](https://modelcontextprotocol.io/llms.txt)

llms.txt

Docs

Antitrust Policy

Group Charter Template

Contributor Communication

Contributing to MCP

Contributor Ladder

Design Principles

Feature Lifecycle and Deprecation Policy

Governance and Stewardship

Authorization Charter

Enterprise-Managed Authorization Charter

Financial Services Charter

Primitive Grouping Charter

Security Charter

Tool Annotations Charter

SDK Tiering System

Security Policy

SEP Guidelines

File Uploads Charter

Inspector V2 Working Group Charter

Interceptors Charter

Registry Charter

SDK Working Group Charter

Server Card Charter

Skills Over MCP Charter

Triggers and Events Charter

Working and Interest Groups

Roadmap

Build an MCP client

Build an MCP server

Build with Agent Skills

Client Best Practices

Connect to local MCP servers

Connect to remote MCP Servers

What is the Model Context Protocol (MCP)?

Architecture overview

Understanding MCP clients

Understanding MCP servers

Versioning

SDKs

Debugging

MCP Inspector

Understanding Authorization in MCP

Security Best Practices

Example Servers

Build an MCP App

MCP Apps

Enterprise-Managed Authorization

OAuth Client Credentials

Authorization Extensions

Extension Support Matrix

Extensions Overview

Tasks

The MCP Registry

How to Authenticate When Publishing to the Official MCP Registry

Frequently Asked Questions

How to Automate Publishing with GitHub Actions

The MCP Registry Moderation Policy

MCP Registry Supported Package Types

Quickstart: Publish an MCP Server to the MCP Registry

MCP Registry Aggregators

Publishing Remote Servers

Official MCP Registry Terms of Service

Versioning Published MCP Servers

SEP-1024: MCP Client Security Requirements for Local Server Installation

SEP-1034: Support default values for all primitive types in elicitation schemas

SEP-1036: URL Mode Elicitation for secure out-of-band interactions

SEP-1046: Support OAuth client credentials flow in authorization

SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance

SEP-1303: Input Validation Errors as Tool Execution Errors

SEP-1319: Decouple Request Payload from RPC Methods Definition

SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance

SEP-1577: Sampling With Tools

SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP

SEP-1686: Tasks

SEP-1699: Support SSE polling via server-side disconnect

SEP-1730: SDKs Tiering System

SEP-1850: PR-Based SEP Workflow

SEP-1865: MCP Apps - Interactive User Interfaces for MCP

SEP-2085: Governance Succession and Amendment Procedures

SEP-2106: Tools inputSchema & outputSchema Conform to JSON Schema 2020-12

SEP-2133: Extensions

SEP-2148: MCP Contributor Ladder

SEP-2149: MCP Group Governance and Charter Template

SEP-2164: Standardize Resource Not Found Error Code

SEP-2207: OIDC-Flavored Refresh Token Guidance

SEP-2243: HTTP Header Standardization for Streamable HTTP Transport

SEP-2260: Require Server requests to be associated with a Client request.

SEP-2322: Multi Round-Trip Requests

SEP-2468: Recommend Issuer (iss) Parameter in MCP Auth Responses

SEP-2484: Require Conformance Tests for Standards Track SEPs to Reach Final Status

SEP-2549: TTL for List Results

SEP-2567: Sessionless MCP via Explicit State Handles

SEP-2575: Make MCP Stateless

SEP-2577: Deprecate Roots, Sampling, and Logging

SEP-2596: Specification Feature Lifecycle and Deprecation Policy

SEP-2663: Tasks Extension

SEP-414: Document OpenTelemetry Trace Context Propagation Conventions

SEP-932: Model Context Protocol Governance

SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts

SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728

SEP-986: Specify Format for Tool Names

SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows

SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents

SEP-994: Shared Communication Practices/Guidelines

Specification Enhancement Proposals (SEPs)

Architecture

Authorization

Overview

Lifecycle

Transports

Cancellation

Ping

Progress

Tasks

Key Changes

Elicitation

Roots

Sampling

Specification

Schema Reference

Overview

Prompts

Resources

Tools

Completion

Logging

Pagination

## What is Model Context Protocol's llms.txt?

Model Context Protocol publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Model Context Protocol offers and where to find details.

Pass

Spec

1

Sections

127

Links

19.0 KB

Size

~4.9k

Tokens

Sections: Docs

## Add Model Context Protocol Docs to Your AI Assistant

Select your tool to see how to add Model Context Protocol's llms.txt as a documentation source.

Cursor

 Windsurf

 Claude Code

 ChatGPT

 Zed

 Copilot

1. 1

   Open any chat or composer panel
2. 2

   Type @Docs and select "Add new doc"
3. 3

   Paste the URL: https://modelcontextprotocol.io/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about Model Context Protocol

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 3 notes

## Frequently Asked Questions

Where is Model Context Protocol's llms.txt file?

Model Context Protocol publishes its llms.txt at https://modelcontextprotocol.io/llms.txt. This file provides a structured, markdown-formatted index of Model Context Protocol's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use Model Context Protocol's llms.txt with AI coding assistants?

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Model Context Protocol's documentation so it can provide better code suggestions and answers about Model Context Protocol.

What does Model Context Protocol's llms.txt contain?

Model Context Protocol's llms.txt contains 1 sections and 127 documentation links in 19.0 KB (~4.9k tokens). Key sections include Docs.

How many tokens does Model Context Protocol's llms.txt use?

The concise llms.txt index is approximately 4.9k tokens (19.0 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

What is Model Context Protocol?

Model Context Protocol Servers. Model Context Protocol's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Model Context Protocol.

Can I generate an llms.txt for my own project?

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

## Browse More llms.txt Files

[Element Plus - A Vue 3 based component library 🎉 A Vue.js 3 UI Library made by Element team](https://mdream.dev/llms-txt/servers/llms-txt/element-plus) [Perplexity](https://mdream.dev/llms-txt/servers/llms-txt/perplexity) [run every day at 8am:-D](https://mdream.dev/llms-txt/servers/llms-txt/run-every-day-at-8am) [OpenClaw 从入门到精通 | OpenClaw Guide 最新Docker容器技术，从真实案例中学习最佳实践！| Learn and understand Docker&Container technologies, with real DevOps practice!](https://mdream.dev/llms-txt/servers/llms-txt/docker-practice) [TensorZero Docs TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.](https://mdream.dev/llms-txt/servers/llms-txt/tensorzero) [Finch](https://mdream.dev/llms-txt/servers/llms-txt/finch) [About TagSpaces Organize your digital life - privately. Files, tags, notes, tasks, maps and kanban boards, all in one place.](https://mdream.dev/llms-txt/servers/llms-txt/about-tagspaces) [Chainlit Build Conversational AI in minutes ⚡️](https://mdream.dev/llms-txt/servers/llms-txt/chainlit)

[View all 99 projects ](https://mdream.dev/llms-txt/servers/llms-txt)

## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/servers/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/servers/tools/llms-txt/validator)

© 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license)

[GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)