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

<img width="324" height="331" alt="Screenshot 2025-07-14 at 9 07 13 PM" src="https://github.com/user-attachments/assets/f907d709-8f09-46b7-a70e-754b4f4cbbf1" />

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

1. Copy the addons/godot_mcp/ folder to your Godot project's addons/ directory
2. Open your Godot project
3. Go to Project → Project Settings → Plugins
4. Enable the "Godot MCP" plugin
5. You should see an "MCP" panel appear at the bottom of the editor
6. The plugin automatically starts listening on a port

Step 2: Set up Python Environment

1. Navigate to the python/ directory:

   cd python
   

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r ../requirements.txt
   

Step 3: Configure Claude Desktop

1. Locate your Claude Desktop configuration file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. 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.py with the actual path to your server.py file.

3. Restart Claude Desktop and happy prompting!

OPTIONAL: Set up Meshy API

1. Sign up for a Meshy API account at https://www.meshy.ai/

2. Get your API key from the dashboard (format: msy-<random-string>)

3. 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 editor
   

   Then add your key to the .env file:

   MESHY_API_KEY=your_actual_api_key_here