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by langchain-ai • Documentation & Docs
An open-source MCP server that exposes llms.txt documentation sources and a fetch_docs tool so agents can securely retrieve and audit documentation from allowed domains.
Discover and list available llms.txt documentation sources before making retrieval calls.
Fetch and audit documentation content from specific, allowed domains with strict domain allowlisting.
A local or programmatic MCP toolset to integrate llms.txt-based docs into editor/IDE agents (Cursor, Windsurf, Claude) with reproducible tool calls.
This project hosts llms.txt files and provides MCP-compatible tools (e.g., list_doc_sources and fetch_docs) so editor and agent hosts can read, audit, and control documentation retrieval. It enforces strict domain access controls (automatic domain allowlisting for remote llms.txt, explicit allowed-domains for local files) to prevent unauthorized network access. The server includes a CLI, YAML/JSON config support, example integrations for Cursor, Windsurf, Claude (Desktop/Code), and a programmatic Python API to create and run the server. It is useful for improving transparency and safety when agents fetch external docs.
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