Enables AI models to seamlessly interact with Google Drive, facilitating search, listing, and reading of files.
Sponsored
This Model Context Protocol (MCP) server provides a robust integration with Google Drive, empowering AI models to manage and access information stored in the cloud. It offers powerful tools for full-text searching across your Google Drive files and reading their contents directly via file ID. The server intelligently handles various Google Workspace file types, automatically converting them to formats suitable for AI processing, such as Google Docs to Markdown and Google Sheets to CSV, ensuring data is always in an accessible format for your AI applications.
Características Principales
010 GitHub stars
02Automatic file format conversion (e.g., Docs to Markdown, Sheets to CSV)
03Read file contents directly using a Google Drive file ID
04Search for files in Google Drive using powerful full-text search
05Integrates seamlessly with AI models via Model Context Protocol
06Secure OAuth 2.0 authentication flow with read-only access
Casos de Uso
01Integrating AI agents with Google Drive to access and process documents
02Building AI applications that require dynamic content retrieval from Google Drive
03Automating information extraction and summarization from Google Workspace files for AI models
