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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 -

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    A powerful tool for fetching and extracting text content from web pages and APIs, supporting web scraping, REST API requests, and Google Custom Search integration.
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    A lightweight web scraping server that allows Claude Desktop users to extract various types of data from websites, including text, links, images, tables, headlines, and metadata using CSS selectors.
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    A Model Context Protocol server that allows LLMs to interact with web content through standardized tools, currently supporting web scraping functionality.
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    Enables web searching and content scraping through Google Custom Search API. Provides tools to search the internet, extract webpage content, and automatically scrape search results for comprehensive information gathering.
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    Enables LLMs and AI agents to access real-time web data, search websites, and navigate the web without getting blocked. Includes 5,000 free monthly requests and supports web scraping, browser automation, and bypassing geo-restrictions.
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    Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
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    Enables web search across multiple search engines (DuckDuckGo, Bing, Startpage) with parallel execution and result deduplication. Also provides web page content extraction capabilities.
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    Enables performing local web searches and extracting structured content from web pages using the Model Context Protocol, featuring customizable result limits and domain filtering.
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    A TypeScript-based web scraping server built on the Model Context Protocol that offers multiple export formats, content extraction rules, and support for both static and dynamic (SPA) websites.
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    Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results.
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    Enables free web searching using Google search results with no API keys required, returning structured results with titles, URLs, and descriptions.
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    Provides web accessibility analysis and color blindness simulation using axe-core and Puppeteer, enabling detailed accessibility checks and visual simulations based on WCAG guidelines.
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    An advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.
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    A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.
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    Enables performing Google searches and retrieving content from the top 5 non-social media results. Returns crawled web page content as a single consolidated string for analysis.
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    A server that enables browser-based local LLM inference using Playwright to automate interactions with @mlc-ai/web-llm, supporting text generation, chat sessions, model switching, and status monitoring.
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    Enables web searching and webpage scraping using pure crawler technology without requiring official APIs. Supports Bing web and news search, batch webpage scraping, and content extraction through Puppeteer automation.
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    A lightweight HTTP module that enables scraping visible text from any publicly accessible webpage, integrating directly with VS Code's MCP system.
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    An MCP Server for Web scraping and Crawling, built using Crawl4AI
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    A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.
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    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
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    A comprehensive MCP server that provides powerful web automation tools using Playwright, enabling web scraping, testing, and browser interaction through natural language commands.
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    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
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    Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries via the MCP protocol.
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    Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries through the MCP protocol.
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    The MCP Web Research Server enables real-time web research with Claude by integrating Google search, capturing webpage content and screenshots, and tracking research sessions.
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    Provides web search capabilities to Claude AI using the Anthropic API, allowing LLMs to access up-to-date information from the web with customizable domain filtering.
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    A Model Context Protocol server that enables web scraping, crawling, and content extraction capabilities through integration with Firecrawl.
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    A TypeScript server that provides web search and content fetching capabilities through Claude CLI integration, allowing Claude Desktop and other MCP clients to access real-time web information.
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