This Google Drive MCP server, developed by Anthropic, enables Large Language Models to interact with Google Drive through the Model Context Protocol. Built with TypeScript and leveraging the Google Drive API, it provides tools for listing, searching, and reading files from Google Drive. The implementation offers a straightforward authentication process and integration with the MCP SDK, making it accessible for AI assistants or applications needing to access and analyze documents stored in Google Drive. It's particularly useful for tasks like document retrieval, content analysis, or managing file operations programmatically within AI workflows.
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Highlight AISearch for files in your Google Drive with powerful full-text search capabilities. Input: { query: 'string (your search query)' } Output: List of files with file name, MIME type, file ID, last modified time, and file size.
Read file contents directly using a Google Drive file ID. Input: { file_id: 'string (Google Drive file ID)' } Output: File contents with appropriate format conversion.