Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

5,018 servers. Last updated -

Matching MCP servers:

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    A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.
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    MIT License
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    This is a collection of Google-native tools (e.g., Gmail, Calendar) for the MCP protocol, designed to integrate seamlessly with AI clients like Claude or Cursor.
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    Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
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    A server that provides a Machine Control Protocol (MCP) interface to search, access, and interact with Google Drive files and folders, enabling AI assistants to work with Google Drive content.
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    Python
    MIT License

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    This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets.
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    Integrates with Google Drive to enable listing, searching, and reading files, plus reading and writing to Google Sheets.
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    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
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    This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
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    A tool for manipulating Google Spreadsheet and Google Drive using MCP (Metoro Control Protocol).
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    MIT License
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    This server enables users to perform Google News searches with automatic categorization and multi-language support via SerpAPI integration.
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    An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.
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    A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.
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    MIT License
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    A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.
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    A Model Context Protocol server that provides web and image search capabilities through Google's Custom Search API, allowing AI assistants like Claude to access current information from the internet.
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    A Model Context Protocol server that provides seamless integration with Google Workspace, allowing operations with Google Drive, Docs, and Sheets through secure OAuth2 authentication.
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    MIT License
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    A Model Context Protocol server that integrates with Google Drive and Google Sheets, enabling users to create, read, update, and manage spreadsheets through natural language commands.
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    A TypeScript Model Context Protocol server that integrates with Google Tasks API, allowing users to create, list, update, delete, and toggle completion status of tasks.
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    A server that provides access to Google Search Console data through the Model Context Protocol, allowing users to retrieve and analyze search analytics data with customizable dimensions and reporting periods.
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    A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.
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    MIT License
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    A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.
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    Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies.
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    The Unlicense
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    Connects Claude to Google Docs, allowing users to list, read, create, update, search, and delete documents in their Google Drive through natural language interactions.
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    This is a server implementation for performing Optical Character Recognition (OCR) using the Google Cloud Vision API. It is built on top of the FastMCP framework, which allows for the creation of modular and extensible command processing tools.
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    A powerful MCP server that enables parallel Google searching with multiple keywords simultaneously, providing structured results while handling CAPTCHAs and simulating user browsing patterns.
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