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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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    A comprehensive Model Context Protocol server that enables AI assistants to search and retrieve content from Reddit, YouTube, and Twitter through simple API calls.
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    Model Context Protocol server that enables Claude Desktop (or any MCP client) to fetch web content and process images appropriately.
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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.
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    Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
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    Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
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    A Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.
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    A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.
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    Enables browser automation using Puppeteer through the MCP interface. Allows launching browsers, creating pages, and executing arbitrary JavaScript for web scraping, testing, and debugging tasks.
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    Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown with support for custom headers.
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    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
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    A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.
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    Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.
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    Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
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    Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.
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    An MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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    An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.
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    Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.
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    Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.
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    A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.
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    Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.
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    A Model Context Protocol server that enables sending customizable HTTP requests with support for various methods, headers, and data formats, returning parsed responses automatically.
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    This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
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    A Model Context Protocol server that provides web content fetching and conversion capabilities.
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    A Model Context Protocol server that enables LLMs to retrieve web content and save it to local files for permanent storage and later access.
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    An MCP server for fetching and transforming web content into various formats.
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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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    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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    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 that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
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