gradle-mcp vs unity-mcp
gradle-mcp: Gradle MCP server is a Model Context Protocol server that enables AI agents to explore Gradle project structures, run tasks, audit dependencies, and interact with the JVM runtime. It includes features like agent skills, project mapping, smart task execution, testing, dependency search, Kotlin REPL, Compose UI previews, and Gradle documentation access. It uses JBang for easy setup and requires JDK 21+.; unity-mcp: MCP for Unity integrates AI assistants like Claude and VS Code Copilot with the Unity Editor using the Model Context Protocol. This allows developers to use Large Language Models to manage assets, control scenes, edit scripts, and automate various tasks within Unity, streamlining game development workflows.
TL;DR
Automating Gradle builds and tests with AI agents
- You develop games in Unity and want AI assistants (Claude, Cursor) to manage assets, inspect hierarchy, edit C# scripts, and run Editor commands via MCP.
- You want to automate scene setup, prefab creation, and repetitive Unity Editor tasks using natural language.
- You use Unreal Engine or Godot; unity-mcp connects strictly to the Unity Editor.
- You only write gameplay C# logic outside of Unity and do not need Editor-level RPC integration.
Side-by-Side Comparison
Features
Use Cases
Best For
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.