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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.

10,405 servers. Last updated -

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Matching MCP servers:

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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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    MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)
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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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    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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    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 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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    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 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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    A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.
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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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    Provides real-time control of Unity Editor through natural language commands. Enables AI-powered workflows for object manipulation, scene management, automated testing, and asset operations with 30+ available tools.
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    An MCP server that allows users to list and kill operating system processes through natural language queries, making process management more intuitive across Windows, macOS, and Linux.
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    A Model-Context-Protocol server for Cursor IDE that monitors and terminates hung Windows build executables (like cl.exe, link.exe, msbuild.exe) when they become idle.
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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 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 Model Context Protocol server implementation for Autodesk Construction Cloud Build that enables AI assistants to manage construction issues, RFIs, submittals, photos, forms, and costs through natural language.
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    Enables AI assistants like Claude to interact with Autodesk Construction Cloud Build platform for construction project management, including issues tracking, RFIs, submittals, and document management through natural language.
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    A TypeScript server that fully implements the Model Context Protocol (MCP) standard, providing API access to Docker CLI operations like build, run, stop, and image management through compatible AI clients.
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    Enables real-time control of Unity Editor through natural language commands, allowing AI to manipulate game objects, run automated tests, manage scenes, and perform batch operations with undo support.
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    A tool that integrates process mining capabilities with Claude AI, allowing users to analyze event log data from PostgreSQL databases through natural language interfaces in Claude Desktop or Cursor.
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    Enables building and cleaning Delphi projects (.dproj/.groupproj) on Windows using MSBuild with RAD Studio environment initialization. Supports both individual projects and group projects with configurable build configurations and platforms.
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    Enables AI assistants to manage development workflows by running build commands, executing tests, analyzing package.json files, installing dependencies, and performing code linting. Supports multiple package managers (npm, yarn, pnpm) and provides detailed error reporting for development operations.
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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    A Model Context Protocol server that provides access to Unity Catalog Functions, allowing AI assistants to list, get, create, and delete functions within Unity Catalog directly through a standardized interface.
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    A Unity Master Control Protocol implementation that allows AI agents to control and interact with Unity, enabling them to execute code, query editor state, modify GameObjects, and capture screenshots through a WebSocket-based communication system.
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    Enables AI to monitor and analyze local system processes through custom tools. Provides real-time access to process information including CPU usage, memory consumption, process counts, and process searching capabilities.
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    A profile-based build automation server powered by MCP that manages, executes, and monitors build processes across multiple projects with features like build queuing, asynchronous execution, and file-watching for automatic rebuilds.
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    A setup guide for running a Model Completion Protocol (MCP) server in Windows Subsystem for Linux, enabling Claude AI integration with local Python code.
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    An MCP server that creates a virtual traveling environment on Google Maps, allowing users to guide an avatar on journeys with photo reports and SNS integration.
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    Enables AI assistants to interact with GitHub repositories, Confluence documentation, and Databricks Unity Catalog through comprehensive tools for code exploration, documentation retrieval, and data schema management.
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