ivanmurzak/unity-mcp

AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method...

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Summary Information

Updated 35 minutes ago
Added to GitGenius on September 16th, 2026
Created on April 2nd, 2025
Open Issues & Pull Requests: 52 (+0)
GitHub issues: Enabled
Number of forks: 381
Total Stargazers: 4,305 (+0)
Total Subscribers: 30 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.7 hours
Mean response time: 5.6 days
90th percentile: 16.9 days
Tracked items: 386

Most active contributors

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How this project is maintained

About 7% of issues opened in the past year have never received a reply. 37% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 86% of issues opened in the past year have been closed, leaving a working backlog. Three people close 95% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 43
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 177 days
Stale 30+ days: 37
Stale 90+ days: 30

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (151)
  • bug (98)
  • help wanted (48)
  • question (41)
  • ai-agent-config (12)
  • documentation (11)
  • high-priority (11)
  • super-feature (9)

Most active issues this week

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Detailed Description

Unity MCP is an AI-powered game development assistant that integrates with the Unity Engine via the Model Context Protocol.

The tool solves the problem of connecting large language models to Unity development workflows by implementing an MCP server that exposes Unity functionality to AI clients. It works by allowing any C# method to be converted into an AI tool through a single line of code, enabling both editor-time automation and runtime AI integration within compiled games. This approach supports real-time AI debugging and player-AI interaction directly inside running games, distinguishing it from tools limited to development-time assistance.

Developers should choose this tool if they want to integrate AI capabilities into their game development pipeline or embed AI agents within their games themselves. It suits projects ranging from small indie games to larger productions where AI-assisted development or in-game AI features are valuable. The tool works with multiple AI clients including Claude, Cursor, Windsurf, GitHub Copilot, Gemini, and others, providing flexibility in choosing your preferred development environment. Setup is streamlined through a command-line interface for quick configuration.

The project shows active development with regular updates and improvements to its MCP implementation and tool capabilities. The codebase demonstrates attention to efficient token usage and advanced tooling features. Community engagement is fostered through an active Discord server where developers can ask questions and share their work.