Unreal-MCP
Reduces iteration cycles for Unreal Engine development by enabling AI agents to directly interact with the editor, automate code generation, and accelerate p…
AI Game Developer for Unreal Engine — MCP plugin (C++ editor plugin + .NET bridge), unreal-cli, connects Unreal Editor to AI agents via ai-game.dev or a local MCP server
- Ask Claude to generate C++ code for a game mechanic and automatically compile it in Unreal Editor
- Generate blueprint logic for enemy AI behavior and test it immediately without manual editor steps
- Find and fix compilation errors in your Unreal project by sending error logs to Claude for analysis
Reduces iteration cycles for Unreal Engine development by enabling AI agents to directly interact with the editor, automate code generation, and accelerate prototyping without manual context switching.
Game development teams and Unreal Engine studios automating C++ development and asset workflows at scale.
https://github.com/IvanMurzak/Unreal-MCP
By IvanMurzak
How to Get It
claude mcp add Unreal-MCP -- npx -y Unreal-MCP
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:
Generate C++ code for a game mechanic and automatically compile it in Unreal Editor
Trust Signals Auto-scanned
Data & Access
Community Pulse New
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): 49 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
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): 49 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.