Unity Biome MCP

#️⃣ 🏠 🍎 🪟 🐧 - Control the Unity Editor from 10 MCP clients or from chat inside Unity. 47 tools for scenes, GameObjects, components, Shader Graph, materials, animation, and UI. PlayTest DSL for deterministic scenario verification, batch operations with Undo rollback, token-efficient plain-text protocol, screenshots with visual diff. Cross-platform CI, 11,700+ tests, MIT.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "german-krasnikov-unity-biome-mcp": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Unity Biome MCP

Control the Unity Editor from MCP-compatible AI clients or from chat inside Unity.

Inspect scenes, edit GameObjects, run playtests, and capture results through structured tools.

Quick Start · Documentation · Comparison · Changelog

Quick Start

Requirements: Unity 6 (6000.0 or newer), Git 2.14+ on PATH, and uv. The MCP server does not need a separate Python installation when it runs through uvx; optional Codex skill synchronization requires Python 3.14 or newer on PATH. See the full Getting Started prerequisites.

1. Install uv

macOS and Linux:

Terminal

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

Windows:

powershell

winget install astral-sh.uv

2. Add the Unity package

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

text

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

3. Configure your client

Open MCP > 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.

Manual client setup guides

Use the matching guide:

For external OpenCode setup, do not use the Wizard's standard clipboard JSON: OpenCode has a different configuration shape. Follow the OpenCode guide.

4. Verify the first connection

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.

The client should call:

python

get_hierarchy(depth=2)

A successful response contains the active scene hierarchy. If the call fails, open MCP > Status > Diagnose in Unity. For Chat-only verification, use the Chat quick check. For command-line diagnostics, run:

bash

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

See Getting Started for recovery steps and platform details.

Local development installation

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

Upgrading from older Python: Install Python 3.14 via brew install python@3.14 (macOS), your system package manager (Linux), or python.org (Windows). Then run python install.py update to recreate the virtual environment.

bash

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 supports claude-code, claude-desktop, cursor, windsurf, vscode, codex, kimi, junie, and opencode.

Documentation

Goal	Guide
Install and connect	Getting Started
Choose and configure an MCP client	Client guides
Install project-local AI guidance	AI Skills and Agents
Find a tool for a task	Tool Guide
Use batch safely	Batch Operations
Build Play Mode workflows	PlayTest DSL
Configure In-Unity Chat	Chat Backends
Extend Unity Biome MCP	Plugin Quick Start
Diagnose failures	Diagnostics

What You Can Do

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 with batch, request deferred schemas, and enable capability categories only when needed.
Extensibility: add project-specific server tools, Unity commands, Chat context chips, and plugin hooks.

Prompt and batch examples

Example prompts:

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.

Batch example

Use batch for two or more compatible operations:

python

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
""")

Some typed tools are direct-only and cannot be placed in a batch. See the Batch guide for validation, Undo-backed rollback, and error handling.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Gaming View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Unity Biome MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "unity-biome-mcp": { "command": "uvx", "args": ["--from"] } }

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Technical Specs & Signals

CategoryGaming

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🎮 Gaming →Best MCP servers for Gaming →Alternatives to Unity Biome MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Unity Biome MCP

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "german-krasnikov-unity-biome-mcp": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Unity Biome MCP

Control the Unity Editor from MCP-compatible AI clients or from chat inside Unity.

Inspect scenes, edit GameObjects, run playtests, and capture results through structured tools.

Quick Start · Documentation · Comparison · Changelog

Quick Start

1. Install uv

macOS and Linux:

Terminal

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

Windows:

powershell

winget install astral-sh.uv

2. Add the Unity package

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

text

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

3. Configure your client

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

Manual client setup guides

Use the matching guide:

For external OpenCode setup, do not use the Wizard's standard clipboard JSON: OpenCode has a different configuration shape. Follow the OpenCode guide.

4. Verify the first connection

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.

The client should call:

python

get_hierarchy(depth=2)

bash

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

See Getting Started for recovery steps and platform details.

Local development installation

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

Upgrading from older Python: Install Python 3.14 via brew install python@3.14 (macOS), your system package manager (Linux), or python.org (Windows). Then run python install.py update to recreate the virtual environment.

bash

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 supports claude-code, claude-desktop, cursor, windsurf, vscode, codex, kimi, junie, and opencode.

Documentation

Goal	Guide
Install and connect	Getting Started
Choose and configure an MCP client	Client guides
Install project-local AI guidance	AI Skills and Agents
Find a tool for a task	Tool Guide
Use batch safely	Batch Operations
Build Play Mode workflows	PlayTest DSL
Configure In-Unity Chat	Chat Backends
Extend Unity Biome MCP	Plugin Quick Start
Diagnose failures	Diagnostics

What You Can Do

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 with batch, request deferred schemas, and enable capability categories only when needed.
Extensibility: add project-specific server tools, Unity commands, Chat context chips, and plugin hooks.

Prompt and batch examples

Example prompts:

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.

Batch example

Use batch for two or more compatible operations:

python

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
""")

Some typed tools are direct-only and cannot be placed in a batch. See the Batch guide for validation, Undo-backed rollback, and error handling.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Gaming View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Unity Biome MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "unity-biome-mcp": { "command": "uvx", "args": ["--from"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/german-krasnikov-unity-biome-mcp?style=directory)](https://allmcps.com/mcp/german-krasnikov-unity-biome-mcp)

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<a href="https://allmcps.com/mcp/german-krasnikov-unity-biome-mcp"><img src="https://allmcps.com/api/badge/german-krasnikov-unity-biome-mcp?style=directory" alt="Unity Biome MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryGaming

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity4/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🎮 Gaming →Best MCP servers for Gaming →Alternatives to Unity Biome MCP →Install in Claude Desktop Install in Cursor Install in VS Code