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
Máy chủ liên quan
Scout Monitoring MCP
nhà tài trợPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
nhà tài trợAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Apple Doc MCP
Search Apple's Developer Documentation with smart search and wildcard support.
Cupertino
Apple Documentation MCP Server - Search Apple docs, Swift Evolution, and sample code
GrowthBook
Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and experimentation platform.
MCPSwift
A Swift framework for building Model Context Protocol (MCP) servers with a simplified API.
Authenticator App MCP Server
A secure MCP server for AI agents to interact with the Authenticator App for 2FA codes and passwords.
Credential Manager
A server for securely managing API credentials locally through the Model Context Protocol (MCP).
MCP Neurolora
An intelligent server for code analysis, collection, and documentation generation using the OpenAI API.
oclif MCP Server Plugin
An oclif CLI plugin that automatically discovers and serves commands via the Model Context Protocol (MCP).
Lilith Shell
Execute terminal commands through a secure shell interface using an AI assistant.
Cygnus MCP Server
An MCP server demonstrating Cygnus tools for reading text files and invoking local APIs.