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Google Drive MCP Server

by MCP-Mirror

A powerful Model Context Protocol (MCP) server that provides seamless integration with Google Drive, allowing AI models to search, list, and read files from Google Drive. It enables AI models to interact with Google Drive files through a standardized protocol.

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What is Google Drive MCP Server?

This is a Model Context Protocol (MCP) server designed to connect AI models with Google Drive. It provides a standardized interface for AI models to search, read, and list files stored in Google Drive, enabling seamless integration and interaction.

How to use Google Drive MCP Server?

To use this server, you need to set up a Google Cloud Project, enable the Google Drive API, configure OAuth credentials, and install the server using npm. After authentication, the server can be started as a command-line tool or integrated into a desktop application by configuring the server settings with the appropriate command and environment variables. AI models can then use the gdrive_search and gdrive_read_file tools to interact with Google Drive files.

Key features of Google Drive MCP Server

  • Seamless Google Drive integration

  • Full-text search capabilities

  • Automatic file format handling (Google Docs to Markdown, Google Sheets to CSV, etc.)

  • Secure OAuth 2.0 authentication

  • Read-only access to Google Drive

Use cases of Google Drive MCP Server

  • Enabling AI models to analyze documents stored in Google Drive

  • Building AI-powered search tools for Google Drive

  • Integrating Google Drive files into AI workflows

  • Automating document processing tasks using AI

  • Providing AI models with access to data stored in Google Sheets

FAQ from Google Drive MCP Server

What is the Model Context Protocol (MCP)?

MCP is a standardized protocol that allows AI models to interact with external data sources and tools.

What Google Cloud services are required?

You need a Google Cloud Project with the Google Drive API enabled and OAuth credentials configured.

How do I authenticate with Google Drive?

You need to create OAuth credentials in your Google Cloud Project and follow the OAuth flow in your browser when running the authentication command.

What file formats are supported?

The server automatically handles Google Docs, Sheets, Presentations, Drawings, Text/JSON files, and other files (Base64 encoded).

How do I integrate this server with my AI application?

You can integrate the server by configuring your application to use the gdrive_search and gdrive_read_file tools provided by the server, sending requests and receiving responses in the specified JSON format.