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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.

6,853 servers. Last updated -

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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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    Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
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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 (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 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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    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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    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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    An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.
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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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    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 through Baidu with content fetching and parsing features, allowing LLMs to search the web and extract webpage content.
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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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    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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    Apache 2.0
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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 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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    Deep Research for crypto - free & fully local 🧠
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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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    A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API.
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    Connects to Cursor and enables deep web searches via Linkup and RAG capabilities using LlamaIndex.
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    High-performance server enabling AI assistants to access web scraping, crawling, and deep research capabilities through Model Context Protocol.
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    Provides intelligent transcript processing capabilities for Claude, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.
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    Provides deep source code analysis for Unreal Engine codebases, allowing AI assistants to understand C++ class structures, search code, and analyze subsystems.
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    AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
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    Calculate the altitude, rise, and set times of celestial objects (Sun, Moon, planets, stars, and deep-space objects) for any location on Earth.
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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
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    A Model Context Protocol (MCP) server that enables Claude to use Monte Carlo Tree Search algorithms for deep, explorative analysis of topics, questions, or text inputs.
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    Provides altitude-azimuth coordinates for celestial objects including planets, over 117,000 stars, and 14,000 deep sky objects based on system time and configurable location.
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    A Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.
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    Provides deep git file-level forensics tools to analyze detailed file histories, changes, and patterns within git repositories, focusing on individual file analysis rather than repository-wide operations.
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    Apache 2.0
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