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Docs MCP endpoint

The documentation site exposes an MCP server at:
MCP endpoint
This endpoint is provided by Mintlify and serves the published documentation content. It supports the Model Context Protocol over HTTP.

Direct URL (streamable HTTP)

Clients that accept an MCP server URL directly:
MCP server URL

Command-based (stdio via mcp-remote)

Clients that require a command and arguments:

Setup by client

  1. Open Settings then Connectors.
  2. Click Add custom connector.
  3. Set the name to “WebMCP Docs” and the URL to https://docs.mcp-b.ai/mcp.
  4. Click Save, then Connect.
Add to .cursor/mcp.json in your project root:
Restart Cursor after saving.
Add to mcp_config.json:
Restart Windsurf after saving.
MCP support in ChatGPT requires a paid plan with Developer Mode enabled.
  1. Enable Developer Mode in ChatGPT settings.
  2. Go to Settings, then Connectors.
  3. Click Add MCP server.
  4. Enter https://docs.mcp-b.ai/mcp as the server URL.
  5. Name it “WebMCP Docs” and click Save.
Add to ~/.codex/config.toml:
Restart Codex after saving.

What the server provides

The MCP server gives connected agents read access to the full documentation site. Agents can search for pages, retrieve page content, and browse the site structure.

llms.txt

The documentation site serves two files that follow the llmstxt.org convention for AI-readable site indexing.

Files

How they are maintained

The repository owns apps/documentation-website/llms.txt. Mintlify serves that root-level file instead of its generated short index. Keep it concise and update it when canonical sources or primary routes change. See Mintlify’s custom file behavior. Mintlify generates llms-full.txt from the published pages on each deployment. It contains each page’s Markdown export, separated by page headers. The maintained llms.txt includes:
  • The proposal status and document.modelContext surface
  • Canonical Community Group, Chrome, OpenAI, and WPT sources
  • Entry points for tutorials, how-to guides, explanations, and package references
  • Links to the full Markdown export, MCP endpoint, and source repository

Usage

AI assistants (Claude, ChatGPT, Gemini, Perplexity, and others) fetch llms.txt to understand what the site covers before retrieving specific pages. If your agent supports URL-based context, point it at https://docs.mcp-b.ai/llms.txt. The MCP endpoint and llms.txt serve different purposes. llms.txt is a static file that agents fetch over plain HTTP. The MCP endpoint is an interactive server that agents connect to as an MCP client, allowing structured queries against the documentation.

Versioning and changelog

WebMCP uses Changesets for versioning. The browser packages share one fixed release version. Changesets bumps the full group when any member changes. Private apps, templates, and test packages are not published.

Where to find changelogs

Versioning policy

All packages follow Semantic Versioning:

Package scope

The fixed release train contains these browser packages: See the package index for package-specific documentation.

Reporting issues

If you find a bug or regression after upgrading:
  1. Check existing issues.
  2. Open a new issue with the package name, version numbers, steps to reproduce, and expected versus actual behavior.