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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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Matching MCP servers:

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    A Python-based MCP server that enables interaction with Microsoft Fabric APIs for managing workspaces, lakehouses, warehouses, and tables through natural language.
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    An MCP server that exposes Fabric patterns as tools for Cline, enabling AI-driven pattern execution directly within Cline tasks.
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    Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.
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    A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction
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    Allows AI models to observe and interact with the Minecraft world through a bot.
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    Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
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    Enables AI assistants to control a Minecraft bot through natural language commands using the Mineflayer library. Provides intelligent pathfinding, chat communication, entity detection, and generic access to Minecraft bot capabilities.
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    A client library that connects AI agents to Minecraft servers, providing full game control with 30 verified skills for common tasks including movement, combat, crafting, and building.
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    Searches and queries the official minecraft wiki to answer any minecraft-related question with precision!
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    A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.
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    Allows AI assistants to connect to and control Minecraft players on remote servers, enabling navigation, building, mining, inventory management, entity interaction, and chat communication through natural language commands.
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    Equinix Fabric MCP Server is an AI-powered interface that enables customers to query their network infrastructure using natural language, providing instant access to real-time information about ports, connections, routers, metros, and other Fabric components.
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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    Provides sophisticated context management for Claude, enabling persistent context across sessions, project-specific organization, and conversation continuity.
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    Provides long-term memory capabilities for Claude through persistent storage and full-text search of context across conversations. Enables storing, searching, and managing memories organized by categories like facts, preferences, projects, and goals.
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    A Minecraft bot that allows Claude and other LLMs to control a Minecraft character through the Model Context Protocol, enabling AI to perform various in-game actions like movement, building, and interacting with the world.
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    An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
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    A lightweight Flask-based server that enables Claude AI to perform real-time web searches via DuckDuckGo during conversations, allowing the AI to access current information.
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    Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
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    MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.
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    Enables structured team communication for Claude Code agents through Slack-like channels and direct messages. Supports project isolation, subscription management, and agent notes for sophisticated multi-agent collaboration workflows.
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    A Model Context Protocol server that enables Claude to interact with Canvas LMS, providing tools for managing courses, announcements, assignments, students, and more through the Canvas API.
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    Enables AI interactions with a running Minecraft server inside a Docker container using RCON, allowing models to programmatically create Minecraft builds and manage the server.
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    The Claude Dev Server enables direct interaction with the file system within a specified workspace, allowing users to perform file and directory operations and implement code artifacts in software development using natural language commands.
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    TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.
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    Connects Claude Code with multiple AI models (Gemini, Grok-3, ChatGPT, DeepSeek) simultaneously, allowing users to get diverse AI perspectives, conduct AI debates, and leverage each model's unique strengths.
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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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    A Model Context Protocol server that provides persistent memory and conversation continuity for Claude Desktop and Claude Code, allowing users to save and restore project context when threads hit token limits.
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    An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.
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    This project aims to build a Claude Code MCP server and implement its associated tools (explain\_code, review\_code, fix\_code, edit\_code, test\_code, simulate\_command, your\_own\_query). The server is implemented using Node.js and the MCP SDK. It receives tool requests from clients via Stdio, dynamically
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