Fern Docs MCP lets AI agents search and retrieve Fern’s documentation, including API documentation, SDK generation, configuration, and Fern platform guides, to get implementation guidance while working with Fern.
The fastmcp library is a Python client for MCP servers. Use it to call MewCP tools from your own scripts and services.
This guide connects Fern Docs MCP to Python through MewCP, so Python can use Fern Docs MCP's 2 tools, like searchDocs and fetchPage.
Fern Docs MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
Scope access to the exact Fern Docs MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
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Other clients
Fern Docs MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key.
Search the documentation at https://buildwithfern.com/learn. Returns ranked results with title, url, section anchor and a snippet, in rank order. Use fetchPage to read a result in full.
Read one page of the documentation at https://buildwithfern.com/learn as markdown. Takes a path or url from a searchDocs result.
