A powerful Model Context Protocol (MCP) server implementation for seamless Google Docs API integration, enabling AI assistants to create, read, update, and manage Google Docs.
A lightweight MCP server for managing Google Workspace services (Gmail, Calendar, Drive, Docs, Sheets, Slides) through natural language with AI assistants like Claude and Cursor.
MCP server enabling Cursor to interact with Google Workspace services including Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, and People via natural language.
An MCP server that enables AI agents to treat Google Docs like local files: read, edit, manage suggestions and comments, and work across tabs and multiple Google accounts.
Demonstrates building an MCP server with Python, exposing tools like web search (Tavily) and basic utilities over streamable HTTP for AI assistants like Cursor.
A Python-based MCP server that exposes tools over streamable HTTP using FastAPI, enabling connection to AI assistants like Cursor. Supports multiple servers mounted in a single FastAPI app.