Add a text file to the docs directory by specifying a URL and a document name, enabling integration into the MCP Docs RAG Server for context-aware LLM queries.
Retrieve a comprehensive list of all documents, including disabled entries, with optional detailed information for enhanced document management on the open-docs-mcp server.
Extracts and retrieves content from Google Docs or Drive files (e.g., .docx) using document_id. Fetches native Docs content via Docs API and extracts text from Office files via Drive API. Returns document content with metadata header.
Crawl and index all available documentation paths on the Tambo Docs MCP Server to enable AI assistants to discover, fetch, and search technical content efficiently.