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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 -

Matching MCP tools:

Matching MCP servers:

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    Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.
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    Provides software development planning tools to help users create implementation plans and manage todo items.
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    Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.
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    An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.
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    Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.
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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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    An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.
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    Facilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.
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    A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
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    An MCP Server providing access to Google's Firebase API, allowing natural language interaction with Firebase services and resources.
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    A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.
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    A Model Context Protocol (MCP) server that enables AI applications to access and analyze local code repositories without manual uploads, providing file listing, content reading, code searching, and project structure analysis capabilities.
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    Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.
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    An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.
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    A bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.
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    An MCP server that enables management of Google Play games via the Google Games Management API, allowing automated interactions for game resets, hiding/unhiding data, and player management through natural language commands.
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    A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.
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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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    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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    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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    The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
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    Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.
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    A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.
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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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    Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.
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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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    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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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta
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