unity-mcp-server
It bridges the gap between LLMs and the Unity Editor, enabling automated scene manipulation and component management to accelerate technical art and gameplay…
Unity MCP Server — 268 tools for AI-assisted game development. Connect Claude, Cursor, or any MCP client to Unity Editor & Unity Hub. Scene management, GameObjects, components, builds, profiling, Shader Graph, Amplify, terrain, physics, NavMesh, animation, MPPM multiplayer & more. Free & open source by AnkleBreaker Studio.
- Automate scene management and GameObject creation within the Unity Editor
- Generate and modify components, shaders, and physics settings via text prompts
- Manage Unity Hub settings and trigger project builds through the AI interface
It bridges the gap between LLMs and the Unity Editor, enabling automated scene manipulation and component management to accelerate technical art and gameplay engineering workflows.
Game developers and technical artists using AI-assisted IDEs to automate repetitive Unity Editor tasks and scene configurations.
https://github.com/AnkleBreaker-Studio/unity-mcp-server
By AnkleBreaker-Studio
How to Get It
claude mcp add unity-mcp-server -- npx -y unity-mcp-server
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me automate scene management and GameObject creation within the Unity Editor
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 525 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 525 GitHub stars; contributors unknown; last commit 0d ago; license no license.