Unity Biome MCP

curl -LsSf https://astral.sh/uv/install.sh | sh

- In Unity, openWindow > Package Manager.
- Select+ > Add package from git URL.
- Enter:

https://github.com/german-krasnikov/unity-biome-mcp.git?path=unity-plugin

OpenMCP > Setup Wizard, choose a client, and follow the result shown by the Wizard.

Configuration depends on the client. The Wizard may write a project configuration, run the configuration helper, copy a client-specific snippet, or defer configuration until In-Unity Chat starts. Restart the selected client when prompted. The Wizard configures the integration; it does not perform an end-to-end connection test.

For an external MCP client, keep the Unity project open, restart the client if the Wizard asked you to, and send:

Read the active Unity scene hierarchy at depth 2 and summarize its root objects.

uvx --from git+https://github.com/german-krasnikov/unity-biome-mcp.git#subdirectory=server unity-biome-mcp doctor

Requirements for a source checkout: Git and Python 3.14 or newer.

git clone https://github.com/german-krasnikov/unity-biome-mcp.git cd unity-biome-mcp python install.py setup python install.py configure --tool claude-code python install.py doctor

The configuration helper supportsclaude-code,claude-desktop,cursor,windsurf,vscode,codex,kimi,junie, andopencode.

- Scene and object editing:inspect and modify GameObjects, components, assets, materials, shaders, and UI.
- Playtesting and verification:run PlayTest DSL workflows, compile checks, console checks, runtime diagnostics, and visual comparisons.
- Animation and VFX:work with clips, Animator controllers, Timeline, particles, materials, shaders, and Shader Graph.
- Efficient tool use:group compatible operations withbatch, request deferred schemas, and enable capability categories only when needed.
- Extensibility:add project-specific server tools, Unity commands, Chat context chips, and plugin hooks.

Create a player object, add a Rigidbody, and place it at the scene origin.

Find enemies without colliders and add a BoxCollider to each.

Run a playtest that moves the player to the door and verifies that the score increases.

Capture the Game View and compare it with the saved baseline.

Summarize scene changes since the last checkpoint.

Usebatchfor two or more compatible operations:

batch(commands=""" create_object name=Enemy set_property path=Enemy component=Transform prop=position value=0,1,0 manage_component path=Enemy type=Rigidbody action=add set_property path=Enemy component=Rigidbody prop=mass value=2 """)

An MCP client launches the Python server over stdio. The server discovers the active Unity project and sends framed commands to the editor plugin over localhost TCP.

OpenMCP > Chatto work inside the editor. Select a supported CLI backend and use Ask or Agent mode. Authentication is handled by the selected CLI. Context chips can attach scene objects, scripts, and assets to a turn, while each completed AI turn is grouped for Unity undo.

The external path isMCP client -> Python MCP server -> localhost TCP -> Unity Editor plugin. In-Unity Chat invokes the selected CLI through the local chat relay; that CLI connects to the same Python MCP server and rejoins the shared TCP-to-plugin path.

The Unity package includes 12 reusable domain skills and 4 focused agents for Claude Code and Codex. They cover efficient MCP tool selection, batching, Unity authoring, playtesting, diagnostics, and evidence-based verification.

The values below are generated from registrations, pytest collection, Unity test discovery or source scanning, and package metadata. They are discovery counts, not a claim that every test was executed in the current checkout.

- Unity Biome MCP:160 registered tools, deterministic PlayTest DSL, and visual baseline/diff workflows.
- Unity MCP Server 2.17:first-party local bridge, connection approval, and multi-client support.
- MCP for Unity 10.1.2:Unity 2021.3 compatibility, 47 tool entrypoints, and authenticated remote hosting.
- AI Game Developer 0.87.0:compiled-player runtime plus local, HTTP, cloud, and Docker deployment.
- MCP Unity:33 listed tools, optional Undo rollback for batches, and an MCP App dashboard.

The detailed matrix cites exact source commits or versioned official documentation and records constraints as well as strengths.

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