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 and examine the contents of a markdown document from the docs directory, including frontmatter, for detailed analysis or reference using the MCP Documentation Service.
Extracts text content from Google Docs or Drive files using the document_id. Retrieves native Google Docs content via Docs API and extracts text from Office files (.docx) stored in Drive via Drive API.
Enables interaction with Google Docs through a FastMCP server, allowing users to list, read, and create documents. It leverages the Google Docs and Drive APIs to provide seamless document management via Gemini-CLI.
Enables AI assistants to create, read, edit, and manage Google Docs and Drive files with support for formatting, comments, tables, images, and bulk operations.