Descubre 28 MCPs desarrollados para Google Drive.
Accelerates the deployment of high-accuracy RAG and AI enterprise search applications that integrate and synchronize with diverse live data sources.
Provides secure integration with Google Drive, Docs, Sheets, and Slides, enabling MCP clients to manage files through a standardized interface.
Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in Python.
Enables interaction with Google Drive files and folders through a Machine Control Protocol (MCP) interface.
Integrate AI assistants with popular services and REST APIs through a standardized Model Context Protocol.
Integrates Google Drive functionalities with the Model Context Protocol (MCP), providing a standardized interface for comprehensive file management and content retrieval.
Manage, organize, and interact with files and folders within Google Drive through a programmatic interface.
Provides a curated collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.
Automates dataset onboarding and cataloging via a FastAPI-based server, integrating with Google Drive for input and storage.
Integrate with Google Drive to manage files, navigate folders, perform searches, and handle sharing permissions.
Enables AI systems to interact with Google Drive for file and folder management.
Syncs Google Drive folders with AI assistants, enabling powerful semantic search, duplicate detection, and cross-reference analysis across your documents.
Provides AI assistants with secure access to Google Docs for reading, writing, and searching.
Enables Google Gemini CLI to access and read native Google Drive documents (GDocs, GSheets, GSlides) accessible via the Windows virtual drive.
Integrates Google Drive with Claude Desktop, enabling direct access and specialized analysis of High Performance Computing (HPC) log files.
Integrates MindMup mind maps with Google Drive, enabling users to search, retrieve, and parse MindMup files directly through an MCP interface.
Provides LLMs with cached Google Drive data via an OpenAI-compatible proxy for efficient interaction.
Connects Claude Desktop to Google Drive data through CData JDBC Drivers.
Enables programmatic interaction with Google Drive files and Google Sheets.
Empowers AI models to interact with and manage files within Google Drive through natural language commands.
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