Unity-MCP and agent-bridge-for-unity
These are complementary tools that serve different scales of MCP integration with Unity: one provides a foundational LLM-to-Editor bridge for code generation and debugging, while the other extends that capability with 243 specialized tools for comprehensive scene manipulation, testing, and Play Mode automation.
About Unity-MCP
IvanMurzak/Unity-MCP
AI-powered bridge connecting LLMs and advanced AI agents to the Unity Editor via the Model Context Protocol (MCP). Chat with AI to generate code, debug errors, and automate game development tasks directly within your project.
Implements MCP server architecture running both in the Unity Editor and compiled runtime, supporting stdio-based local execution and HTTP-based remote deployment without vendor lock-in. Generates dynamic "skills" metadata reflecting project state (Unity version, OS, installed plugins) to enhance LLM context, and provides extensible MCP Tools for editor automation alongside in-game runtime capabilities for NPC behavior and live debugging. Compatible across multiple AI clients (Claude, Cursor, GitHub Copilot, VS Code, Rider) and deployable via npm CLI, Docker, or direct UPM package integration.
About agent-bridge-for-unity
sebastiankurvers-dev/agent-bridge-for-unity
Let AI operate the Unity Editor — 243 MCP tools for scene building, visual QA, Play Mode, and more.
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