Open-Source MCP servers

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

5,017 servers. Last updated -

Matching MCP servers:

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    A Model Context Protocol tool that enables Claude to interact with Microsoft Outlook for macOS, allowing users to read/send emails, manage calendar events, and access contacts through natural language commands.
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    lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.
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    A Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.
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    ISC License
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    Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.
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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    A collection of tools that enable AI assistants to interact with Apple applications and services including Contacts, Notes, Messages, Mail, Reminders, Calendar, Maps, and Web Search through the Model Context Protocol.
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    A Model Context Protocol server that enables running AppleScript code to interact with Mac applications and system features including Notes, Calendar, Contacts, Messages, file management, and more.
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    MIT License
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    Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
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    Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment
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    JavaScript
    MIT License
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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
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    MIT License
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    Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".
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    MIT License
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    A Node.js server that allows browsing Git repositories through MCP, providing tools to view directory structures and read important files from repositories.
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    MIT License
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    Enables automation of browser tasks using Playwright by interacting via Claude Desktop for executing user-defined prompts and operations.
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    MIT License
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    A security testing tool that enables automated vulnerability detection including XSS and SQL injection, along with comprehensive browser interaction capabilities for web application penetration testing.
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    MIT License
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    Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
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    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.
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    A browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension, supporting functions like console monitoring, screenshots, DOM analysis, and website auditing.
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    JavaScript
    MIT License
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    A MCP server for accessing Zoom recordings and transcripts without requiring direct authentication from the end user.
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    Apache 2.0
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    Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.
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    Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
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    A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.
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    Apache 2.0
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    This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
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    Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.
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    MIT License
    • Apple
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
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    MIT License
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    An MCP server implementation that allows AI assistants to access, search, and interact with Dev.to content, including fetching articles, retrieving user information, and publishing new content.
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    MIT License
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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 server implementing the Model Context Protocol (MCP) to support Agent8 SDK development by providing system prompts and code example search capabilities through stdio and SSE transports.
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    A collection of tools that enables Claude AI and Cursor to access native macOS applications such as Messages, Notes, Contacts, Emails, Reminders, Calendar, and Maps through the Model Context Protocol.
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    MIT License
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    Provides stealth browser capabilities using Playwright with anti-detection techniques, allowing MCP clients to navigate websites and take screenshots while evading common bot detection systems.
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    Apache 2.0
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