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Open-Source MCP servers

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

9,443 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Allows Claude to directly debug a NodeJS server by setting breakpoints, inspecting variables and stepping through code.
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    An MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.
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    A Model Context Protocol server that provides browser automation capabilities using Puppeteer, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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    A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.
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    MIT License
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    Enables browser automation with Puppeteer, supporting navigation, form interactions, and connection to active Chrome instances for comprehensive web page interaction.
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    Enables access to LDS Gospel Library content and scriptures through the Model Context Protocol. Provides tools for searching and retrieving religious texts and study materials from the Church of Jesus Christ of Latter-day Saints.
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    MCP Server for the Gentoro services, enabling Claude to interact with Gentoro, which allows users to create and integrate tools into a common Bridge, defining all available capabilities.
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    Apache 2.0
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    Enables AI agents to interact with Android devices through visual UI element detection and automated interactions. Provides comprehensive Android automation capabilities including touch gestures, text input, screenshots, and video recording via uiautomator2.
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    A Model Context Protocol server that provides browser automation capabilities using Puppeteer with configurable options through environment variables, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a browser environment.
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    A Model Context Protocol server that provides enhanced browser automation capabilities using Puppeteer-Extra with Stealth Plugin, enabling LLMs to interact with web pages in a way that better emulates human behavior and avoids detection as automation.
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    MIT License
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    A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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    Apache 2.0
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    Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.
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    Enables searching and analyzing Facebook's public ads library to see what companies are currently running, including ad images/text, video links, and campaign insights.
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    MIT License
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    This MCP server lets you search Facebook's Ad Library, retrieve brand ads, and analyze ad images/videos using AI - all with intelligent caching and batch processing for efficiency.
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    MIT License
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    A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.
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    A Model Context Protocol server that enables LLMs to automate web browsers using Puppeteer, allowing navigation, screenshots, form filling, and JavaScript execution in a real browser environment.
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    MIT License
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    Enables LLMs to perform web browsing tasks, take screenshots, and execute JavaScript using Puppeteer for browser automation.
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    MIT License
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    An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
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    An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.
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    Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
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    An MCP server implementation that integrates the SearXNG API for powerful web search capabilities and uses @missionsquad/puppeteer-scraper to read and process live web content.
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    MIT License
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    An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
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    MIT License
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
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    MIT License
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    Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.
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    Apache 2.0
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    Enables Large Language Models to retrieve Jewish texts and commentaries from the Sefaria library through a standardized interface.
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    MIT License
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    AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.
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    Provides access to Jewish texts from the Sefaria library. This server enables Large Language Models to retrieve and reference Jewish texts through a standardized interface.
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    MIT License
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    A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.
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    Apache 2.0
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    • Apple