godot-ai 1.2.4

Production-grade MCP server and AI tools for the Godot engine

Godot AI

Connect MCP clients directly to a live Godot editor via the Model Context Protocol. Over 120 MCP tools (full list) let AI assistants (Claude Code, Codex, Antigravity, etc.) build scenes, edit nodes and scripts, wire signals, and configure UI, materials, animations, particles, cameras, and environments.

🎉 Now on the Godot Asset Library — one-click install from Godot's AssetLib tab. You'll still need uv for the Python server (see Quick Start).

💬 Join the Discord — questions, showcases, and contributor chat.

Independent community project, not affiliated with the Godot Foundation. Godot Engine is MIT-licensed.

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UI demo built in ~2 hours with zero coding, zero image gen, all programmatically drawn by Godot AI — source

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Quick Start

Prerequisites

• Godot 4.3+ (4.4+ recommended)
• uv (for the Python server):
  • macOS / Linux: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Windows (PowerShell): powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
  • Other options: uv install docs
• An MCP client (Claude Code | Codex | Antigravity)

1. Install the plugin

Recommended — install from source (always the latest):

git clone https://github.com/hi-godot/godot-ai.git
cp -r godot-ai/plugin/addons/godot_ai your-project/addons/

Or download the latest release ZIP and extract addons/godot_ai into your project's addons/ folder.

Or via the Godot Asset Library

In Godot, open the AssetLib tab, search for Godot AI, click Download, then Install. Note: Asset Library updates lag behind GitHub, so this version may not be the most recent.

🚨 If installing from the Asset Library, most issues can be resolved by disabling and re-enabling the plugin in Project > Project Settings > Plugins.

2. Enable the plugin

In Godot: Project > Project Settings > Plugins — enable Godot AI.

The plugin will automatically start the MCP server, connect over WebSocket, and show status in the Godot AI dock.

3. Connect your MCP client

The dock lists every supported client with a status dot and per-row Configure / Remove buttons, or press Configure all. Auto-configure covers:

• Claude Code, Claude Desktop, Antigravity

…and 15+ more clients

Codex, Cursor, Windsurf, VS Code, VS Code Insiders, Zed, Gemini CLI, Cline, Kilo Code, Roo Code, Kiro, Trae, Cherry Studio, OpenCode, Qwen Code.

Server URL is always http://127.0.0.1:8000/mcp. If auto-configure can't find a CLI, each dock row exposes a Run this manually panel with a copyable snippet.

4. Try it

• "Show me the current scene hierarchy."
• "Create a Camera3D named MainCamera under /Main."
• "Search the project for PackedScene files in ui/."
• "Run the scene test suite."
• "Build a voxel block-world game with a player, blocks to place and destroy, and save slots."

Demo gamelet with sophisticated save system built from a handful of Godot AI MCP prompts. Code and Godot project available free here.

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Tools and resources: see docs/TOOLS.md for the full list of 120+ MCP tools and resources, grouped by domain.

Manual Client Configuration

Claude Code

claude mcp add --scope user --transport http godot-ai http://127.0.0.1:8000/mcp

Codex (~/.codex/config.toml)

[mcp_servers."godot-ai"]
url = "http://127.0.0.1:8000/mcp"
enabled = true

Antigravity (~/.gemini/antigravity/mcp_config.json)

{
  "mcpServers": {
    "godot-ai": {
      "serverUrl": "http://127.0.0.1:8000/mcp",
      "disabled": false
    }
  }
}

How It Works

MCP Client
   | HTTP (/mcp)
   v
Python Server (FastMCP)      port 8000
   | WebSocket               port 9500
   v
Godot Editor Plugin
   | EditorInterface + SceneTree APIs
   v
Godot Editor

The plugin starts or reuses the Python server, connects over WebSocket, and exposes editor capabilities as MCP tools and resources over HTTP.

Contributing

See CONTRIBUTING.md for development setup, testing, and PR guidelines.

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Star History

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License: MIT | Issues: GitHub