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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.

8,468 servers. Last updated -

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    Enables VSCode/Cursor to integrate with Confluence Wiki, allowing AI models to access and process wiki content by fetching pages and converting them to Markdown format.
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    Searches and queries the official minecraft wiki to answer any minecraft-related question with precision!
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    A Model Context Protocol (MCP) server that provides access to EVE University Wiki content with automatic Wayback Machine fallback for enhanced reliability. This server enables AI assistants to search, retrieve, and explore EVE Online knowledge from the comprehensive EVE University Wiki, making it a
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    Deep directory tree visualization tool enabling efficient visualization of complex directory structures with AI-powered analysis capabilities.
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    Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.
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    This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama
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    A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.
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    An MCP Server implementation that enables managing Confluence wiki pages through natural language queries, supporting operations like creating, updating, deleting, and searching pages across different knowledge bases.
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    Enables AI assistants to access the Consumer Rights Wiki, providing tools to search and retrieve information about modern consumer exploitation issues like privacy violations, dark patterns, and deceptive pricing practices.
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    Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.
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    An OpenAI API-based MCP server that provides deep thinking and analysis capabilities, integrating with AI editor models to deliver comprehensive insights and practical solutions.
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    Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
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    A Model Context Protocol (MCP) implementation that provides deep filesystem tree visualization and manipulation capabilities. This tool enables efficient navigation and management of complex directory structures, enhancing development workflows with AI-powered file system operations. Compatible with
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    A Model Context Protocol server that enables Claude to perform advanced web research with intelligent search queuing, enhanced content extraction, and deep research capabilities.
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    Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.
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    A Model Context Protocol compliant server that facilitates comprehensive web research by utilizing Tavily's Search and Crawl APIs to gather and structure data for high-quality markdown document creation.
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    A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
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    A Model Context Protocol server that enables AI agents to interact with Azure DevOps wikis, providing capabilities for content search, page management, and hierarchical structure navigation.
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    A Model Context Protocol server that performs comprehensive web research by combining Tavily Search and Crawl APIs to gather extensive information and provide structured JSON output tailored for LLMs to create detailed markdown documents.
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    An agent-based tool that provides web search and advanced research capabilities including document analysis, image description, and YouTube transcript retrieval.
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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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    A Model Context Protocol server that enables Claude to read and update documentation in Wiki.js instances through capabilities like searching, reading, creating, and updating wiki pages.
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    MCP Server for interacting with Old School RuneScape Wiki API and game data files, providing tools to search the OSRS Wiki and access game data definitions through the Model Context Protocol.
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    MIT License
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    A Model Context Protocol server that allows AI assistants and applications to access IQ.wiki data, enabling retrieval of specific wikis, user-created wikis, user-edited wikis, and detailed wiki activities.
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    A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖. wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
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    Deep Research for crypto - free & fully local 🧠
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    Enables interaction with Old School RuneScape game data and Wiki through the Model Context Protocol, providing tools to search the OSRS Wiki and access game definitions for items, NPCs, locations, and game mechanics.
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    An MCP server that provides deep knowledge about OpenAI APIs and SDKs, enabling users to query technical information through various MCP clients including ChatGPT Deep Research, Cursor, and OpenAI Responses API.
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    Connects to Cursor and enables deep web searches via Linkup and RAG capabilities using LlamaIndex.
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    • Apple