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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 specialized server that enables LLMs to gather specific information through sequential questioning, implementing the MCP standard for seamless integration with LLM clients.
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    This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
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    Enables structured problem-solving through sequential thinking stages with persistent storage and analysis. Helps break down complex problems into manageable cognitive steps while tracking progress and generating summaries of the entire thought process.
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    An MCP server that enables Claude to break down complex problems into manageable steps with support for revision and branching, facilitating dynamic and reflective problem-solving through a structured thinking process.
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    An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.
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    Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.
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    Provides tools for structuring complex problems through narrative-based sequential story elements or systematic sequential thinking, helping make complex problems more memorable and easier to understand.
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    A Node.js/TypeScript backend for managing sequential thinking sessions, allowing users to create sessions and post thoughts in a structured sequence with support for real-time updates via Server-Sent Events.
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    Guides problem-solving by breaking down complex problems into steps and recommending appropriate MCP tools for each stage, with confidence scores and rationales for tool suggestions.
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    Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.
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    Enables structured, step-by-step problem-solving with dynamic revision and branching capabilities. Supports breaking down complex problems into manageable steps while allowing course corrections and alternative reasoning paths.
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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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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.
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    MCP server for the Clash of Clans API. Can get player, clan information, analyze ongoing wars, as well as war logs (provided they are public).
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    An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.
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    A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.
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    A server that connects to The Movie Database API, enabling clients to fetch popular movies, now playing movies, movie details, cast information, and search for movies through a Message Control Protocol interface.
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    Official MCP server that turns The Graph’s Token API into a plug-and-play web3 data tool. Exposes ERC-20 & NFT metadata, balances, transfers, top-holder stats, prices, and more, allowing LLMs to run SQL queries on structured and indexed blockchain data.
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    Apache 2.0
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    Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.
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    This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.
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