"google drive" matching MCP servers:

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

Enables MCP-compatible reasoning agents to perform read-only discovery, retrieval, and exact search across Google Drive, Docs, Sheets, and Slides through a stateless Cloud Run service.

This MCP server provides comprehensive Google Workspace integration (Gmail, Drive, etc.) with multi-user OAuth. Unique features include RAG-powered natural language to Chat card rendering, runtime Jinja2 macro creation, and dynamic tool management.

MCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.

A stdio MCP server that provides a single tool to query Gemini with Google Search grounding for current web information, returning synthesized answers with source links.

Enables AI assistants and agents to connect directly to Google NotebookLM through its high-performance internal RPC calls. Provides grounded RAG chat with citations, notebook and source management (URLs, YouTube, Drive files, text), Audio Overview generation and download, persistent session handling, and automated Deep Research.

An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Fetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.

MCP server that integrates Google Drive, RAG, and memory services for context-aware knowledge management, enabling session, project, document, catalog, and knowledge operations for AI assistants.

An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.

A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.

A Model Context Protocol server that enables Claude to perform Google Custom Search operations by connecting to Google's search API.

Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.

Enables MCP clients to drive Google NotebookLM for citation-backed Q&A over your sources, plus generation of audio, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, using multi-account rotation with automatic re-authentication. It also exposes the same engine as a local HTTP REST API for no-code and custom integrations.

Enables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.

MCP server for semantic search over Google Drive documents, enabling AI tools to search, list, and retrieve document content.

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

Exposes your Google Drive, Slack, GitHub, and Railway to MCP clients with semantic search, per-user permissions, and optional OAuth, allowing natural-language access to your private data and infrastructure.

Enables semantic search and retrieval of information from personal and team knowledge repositories including Slack, Gmail, Dropbox, Google Drive, and uploaded files. Allows storing new information for future recall through AI-powered search.