If an AI assistant helps you build your integration, point it at this site directly. Everything here — the guides, the full Headless API GraphQL reference, and the Admin API reference — is published in formats built for AI tools, so your assistant works from the current docs instead of stale training data or scraped HTML.
Docs MCP server
The documentation is available as a Model Context Protocol (MCP) server:
Once connected, your AI tool can search the developer docs, retrieve any page as clean Markdown, run read-only queries across the documentation corpus, and report documentation problems straight to the docs team. The server requires no authentication and is read-only — it exposes only the published content of this site.
This server answers questions about the documentation. It is separate from any MCP connection your own Mighty Network offers for its content — that one is managed in Network Admin and authenticates as a member of the Network.
Claude Code
Claude
Cursor
VS Code
ChatGPT
Add the server from your terminal: In the Claude web or desktop app, go to Settings > Connectors > Add custom connector, name it, and paste the server URL. See the Claude custom connector guide for a walkthrough. Add the server to .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally): Add the server to .vscode/mcp.json in your workspace: Enable Developer Mode under Settings > Apps & Connectors, then create a connector with the server URL. See the ChatGPT connectors guide.
Any other MCP-capable client works the same way: it’s a streamable HTTP server at the URL above, with no authentication step.
Every page as Markdown
Append .md to any page’s URL to get the raw Markdown instead of HTML:
You can also use the contextual menu in the top-right corner of every page to copy the page as Markdown, open it directly in Claude, ChatGPT, or Perplexity, or copy the MCP server address.
llms.txt
The site publishes the llms.txt convention for AI crawlers and one-shot ingestion:
/llms.txt — an index of every page with one-line descriptions, so a tool can find and fetch exactly the pages it needs
/llms-full.txt — the entire documentation in a single Markdown file
Generating typed clients
For working with the Headless API schema itself — rather than the docs about it — fetch the SDL from the unauthenticated schema endpoint and feed it to your code generator. See Fetching the schema.