Google Workspace MCP Server

Google Workspace MCP Server

The Google Workspace MCP Server solves a common pain point for developers building AI assistants: securely accessing a user’s personal Google services—Gmail, Calendar, and Drive—through an MCP-compatible interface. By exposing these APIs behind a lightweight protocol, the server lets AI agents like Claude Desktop read and manipulate calendar events, email threads, and documents without exposing raw OAuth tokens or handling complex authentication flows themselves.

At its core, the server translates MCP resource calls into Google API requests. For Calendar it can list events within a date range, create new entries, update specific fields of existing events, or delete them entirely. Gmail support includes fetching the latest message, searching by subject, and composing new emails directly from the assistant. Drive integration allows searching for files with advanced query strings, creating Google Docs, updating their contents wholesale, and managing file lifecycle—moving to trash or permanently deleting. This breadth of capabilities means a single MCP client can perform almost all routine workspace tasks, from scheduling meetings to drafting follow‑up emails, all within the same conversational flow.

Developers benefit from a clean separation of concerns: the MCP server handles authentication, token refresh, and rate limiting, while the AI client focuses on intent understanding and response generation. The server’s design follows MCP best practices, providing well‑structured resources and tool definitions that can be introspected by clients. This makes it straightforward to add new Google APIs or extend existing ones, as the protocol exposes clear endpoints and payload schemas.

Typical use cases include virtual assistants that can “Schedule a meeting with Alice next Wednesday at 3 pm” or “Send a follow‑up email to the marketing team about last quarter’s metrics.” In collaborative settings, an AI can automatically archive old Drive files or flag calendar conflicts before a user’s day begins. Because the server runs locally and uses OAuth consent screens, it respects privacy while still granting fine‑grained access to the user’s data.

Unique advantages of this MCP server are its simplicity and security. It requires only a single OAuth credential set, stores tokens locally in , and never exposes raw credentials to the AI model. The modular resource definitions mean developers can quickly prototype new features—such as integrating Google Sheets or Docs commenting—by extending the existing codebase. For teams building AI‑powered productivity tools, this server provides a robust foundation for seamless Google Workspace integration.