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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.

9,467 servers. Last updated -

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    Seamless automation and intelligent control over your Unity projects. By integrating with the MCP server and client, it allows AI agents or external tools to interact with your Unity environment—creating, modifying, and managing GameObjects, Components, Assets, Scenes, and more.
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    A bridge between Unity and AI assistants that enables AI to interact with Unity game environments through a standardized interface for code execution, scene analysis, and runtime debugging.
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    Implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with Unity projects through a Node.js server bridge.
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    A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.
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    A Model Context Protocol server for Unity game development that enables users to manage projects, edit scenes, create prefabs, and generate scripts through natural language integration with Smithery.ai.
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    A protocol server that bridges AI assistants with Unity projects, allowing them to analyze code, parse scenes, generate scripts, and perform other Unity operations through specialized tools.
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    MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)
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    A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.
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    A comprehensive toolkit that consolidates over 40 development tools into a single MCP, enabling unified management of frontend, backend, mobile development, GitHub repositories, and database operations.
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    Enables AI agents to interact with Unity projects through multimodal vision, code analysis, asset management, and scene manipulation. Supports real-time Unity editor control, project search, script creation, and visual debugging through screenshots.
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    A Model Context Protocol server that enables Claude to interact directly with Unity projects, providing tools for script creation, asset management, and project building.
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    A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.
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    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
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    An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.
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    A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.
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    Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.
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    A server that enables AI assistants to understand and interact with Unity projects in real-time, providing access to scene hierarchy, project settings, and the ability to execute code directly in the Unity Editor.
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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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    High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.
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    A platform that transforms AI development with intelligent context management, optimization, and prompt engineering, enabling developers to enhance model performance through structured context management and optimization tools.
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    A development platform that helps AI developers optimize prompts through intelligent context management, providing tools for analysis, optimization, and template management to reduce costs and improve AI response quality.
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    A Model Context Protocol server that enables Claude to manage software development projects with complete context awareness and code execution through Docker environments.
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    A TypeScript scaffold for building Model Context Protocol (MCP) tools that let AI models call external services like sending emails or notifications.
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    AI-driven tool that helps developers create beautiful UI components instantly through natural language descriptions, integrating with popular IDEs like Cursor, Windsurf, and VSCode.
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    A multi-agent human-computer interaction system that enables natural interaction through integrated visual recognition, speech recognition, and speech synthesis capabilities.
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    An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
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    A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.
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    Provides comprehensive access to Salesforce B2C Commerce Cloud development tools including SFCC API documentation, best practices guides, log analysis, and system object definitions. Enables AI assistants to help with SFCC development tasks through both documentation-only mode and full credential-based mode.
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    A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.
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    An MCP server that automatically generates static websites from natural language instructions, creating Next.js-based sites with optional automatic deployment to AWS S3.
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    A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.
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