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Google Drive MCP Server

MCP Server

Seamless integration with Google Drive and Sheets

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Updated Mar 31, 2025

About

A Model Context Protocol server that authenticates via OAuth 2.0 and provides tools to read data from Google Sheets, enabling developers to fetch spreadsheet content within MCP workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Google Drive MCP Server

The Google Drive MCP Server bridges the gap between AI assistants and Google’s cloud storage ecosystem. By exposing a set of tools that interact with both Google Drive and Google Sheets, it allows Claude or other MCP‑enabled assistants to perform file operations—such as listing, uploading, and downloading—as well as reading spreadsheet data—all within a single conversational session. This eliminates the need for developers to build separate authentication flows or REST wrappers for each Google service, streamlining the integration of cloud data into AI‑driven workflows.

At its core, the server handles OAuth 2.0 authentication with Google Cloud, ensuring secure access to a user’s Drive and Sheets resources. When the server starts for the first time, it opens a browser window prompting the user to grant permissions. Once authorized, the server stores a refresh token locally () so subsequent sessions can resume without re‑authentication. This design keeps credentials out of the codebase while still providing a smooth developer experience.

Key capabilities include:

  • File Management: Create, read, update, and delete files in Google Drive, enabling assistants to manage documents, images, or other assets on demand.
  • Spreadsheet Access: The tool retrieves data from specified sheets, allowing the assistant to pull structured information for analysis or reporting.
  • Scalable Extensibility: The architecture is modular; new tools can be added to support additional Drive operations or more advanced Sheet functionalities (e.g., writing data, formatting cells).

Real‑world use cases abound. A project manager could ask the assistant to pull the latest sales figures from a shared Google Sheet, while a content creator might instruct it to upload new media files directly to Drive. In data science pipelines, the assistant could fetch raw datasets from Sheets, preprocess them, and store results back into Drive—all orchestrated through conversational commands. Because the server exposes these actions as MCP tools, developers can embed them into larger AI workflows, such as automating report generation or integrating with other cloud services.

What sets this server apart is its focus on simplicity and security. By handling OAuth flows internally and providing a minimal yet powerful set of tools, it removes the typical friction associated with Google API integration. Developers can quickly prototype AI assistants that interact with their own Drive and Sheets environment, freeing them to concentrate on higher‑level logic rather than boilerplate authentication or API plumbing.