Godot MCP
A plugin for modular communication between external processes and the Godot game engine.
Godot MCP Server
A Model Context Protocol (MCP) server that enables Claude Desktop to control and interact with the Godot Engine editor.
DEMO VIDEO
https://github.com/user-attachments/assets/07424399-31b5-47ee-a20d-808b2e789731
NEW UPDATE!!!! ADDED MESHY API INTEGRATION
GENERATE DYNAMIC SCENES BY CALLING THE MESHY API, DIRECTLY IMPORTED INTO GODOT
Setup Instructions
Prerequisites
- Godot Engine (4.x or later)
- Python 3.8+
- Claude Desktop app
- Meshy API account (optional, for AI-generated meshes)
STEP 0: Clone the repo and navigate to the directory
git clone https://github.com/Dokujaa/Godot-MCP.git
Step 1: Install Godot Plugin
- Copy the
addons/godot_mcp/folder to your Godot project'saddons/directory - Open your Godot project
- Go to
Project → Project Settings → Plugins - Enable the "Godot MCP" plugin
- You should see an "MCP" panel appear at the bottom of the editor
- The plugin automatically starts listening on a port
Step 2: Set up Python Environment
-
Navigate to the
python/directory:cd python -
Create and activate a virtual environment:
python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate -
Install dependencies:
pip install -r ../requirements.txt
Step 3: Configure Claude Desktop
-
Locate your Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the Godot MCP server configuration:
{ "mcpServers": { "godot": { "command": "/path/to/your/godot-mcp/python/venv/bin/python", "args": ["/path/to/your/godot-mcp/python/server.py"], "env": {} } } }Replace
/path/to/your/godot-mcp/python/server.pywith the actual path to your server.py file. -
Restart Claude Desktop and happy prompting!
OPTIONAL: Set up Meshy API
-
Sign up for a Meshy API account at https://www.meshy.ai/
-
Get your API key from the dashboard (format:
msy-<random-string>) -
Set up your API key using one of these methods:
Option A: Using .env file (Recommended)
# Copy the example file cp python/.env.example python/.env # Edit the .env file and add your API key nano python/.env # or use your preferred editorThen add your key to the
.envfile:MESHY_API_KEY=your_actual_api_key_here
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