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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.

10,187 servers. Last updated -

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    Facilitates integration of Brave Search functionalities with AI assistants through the Model Context Protocol, enabling web and local searches using the Brave Search API.
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    An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.
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    A Model Context Protocol server that integrates with Brave Search API to provide real-time search capabilities through Server-Sent Events (SSE).
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    An MCP server that integrates the Brave Search API to provide both web and local search capabilities, with features like pagination, filtering, and smart fallbacks.
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    An MCP server that enhances Brave Search results by using Puppeteer to extract full webpage content and explore linked pages, enabling AI assistants to perform comprehensive web research with configurable depth.
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    Enables web searching and local business discovery through the Brave Search API. Provides both general web search with pagination and filtering controls, plus local business search with automatic fallback to web results.
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    An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
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    • Apple
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    Enables web and local business searches through the Brave Search API. Provides general web search with pagination and filtering, plus local business search with automatic fallback to web results.
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    A server based on the MCP protocol that uses the Brave API for web search functionality.
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    An MCP server that enables users to fetch Python documentation using the Brave Search API through natural language queries.
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    Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.
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    Facilitates executing system commands and retrieving web data using the Brave Search API by interpreting user intents via a Large Language Model (LLM).
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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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    A research tool that performs comprehensive, in-depth research on complex topics by combining sequential thinking with Brave Search capabilities to provide detailed, well-sourced reports.
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    Enables web search and local business data retrieval through the Brave Search API. Provides tools for web search, local points of interest, and rich search results with customizable parameters.
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    The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.
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    A toolkit for managing Claude desktop app extension configurations, enabling features like Brave search, file operations, Git/GitHub integration, shell access, web scraping, HTTP requests, AWS documentation search, and Obsidian note management.
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    Enables web browsing capabilities for locally served LLMs through URL text fetching, link extraction, and web search using Brave and DuckDuckGo engines. Designed to enhance LLMs with real-time web access through the MCP protocol.
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    Provides weather information including alerts and forecasts for any location, web search capabilities through Brave Search API, and basic math operations. Includes weather-based event suggestions to help users plan activities based on current conditions.
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    Enables AI models to fetch text content from URLs, extract links from web pages, and search the web using Brave Search with automatic content retrieval from top results. Provides comprehensive web scraping and search capabilities with robust error handling.
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    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
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    • Linux