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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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Matching MCP servers:

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    An MCP Server that provides access to Google's Search Console API, allowing users to interact with website search performance data and manage search presence through natural language.
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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 free web searching using Google search results with no API keys required, returning structured results with titles, URLs, and descriptions.
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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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    Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results.
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    A Python-based MCP server that enables AI-assisted log file analysis with features for filtering, parsing, and interpreting log outputs, plus executing and analyzing test runs with varying verbosity levels.
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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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    Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.
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    Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.
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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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    Connects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.
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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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    Provides Google search capabilities, web content extraction, and screenshot functionality with advanced bot detection avoidance through the MCP protocol.
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    Enables AI assistants to perform real-time Google searches with anti-bot protection. Bypasses search engine restrictions using advanced browser automation to extract search results locally without requiring paid API services.
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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 AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.
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    Apache 2.0
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    An MCP server that integrates real-time web search capabilities into AI assistants using the Exa API, providing both basic and advanced search functionality with formatted markdown results.
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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 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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    Enables web content retrieval and semantic search capabilities through the Jina AI API. Provides tools to fetch content from URLs and perform intelligent web searches with natural language queries.
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    Provides weather information and web search capabilities with special support for Hugging Face inference providers. Integrates seamlessly with tiny-agents framework for conversational AI interactions.
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    A Model Context Protocol server that converts Markdown content to HTML format.
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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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    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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    An MCP server that automatically generates static websites from natural language instructions, creating Next.js-based sites with optional automatic deployment to AWS S3.
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    Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP server implementation with stdio transport mode for integration with LLM applications.
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    A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.
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    A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.
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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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