Godot4 Runtime MCP
G

Godot4 Runtime MCP

A Godot 4 example project containing an MCP client plugin, used to demonstrate real-time viewing, modifying scene node attributes, and calling methods through AI tools such as Claude during game runtime, enabling AI-assisted debugging and development.
2.5 points
9.2K

What is the Godot MCP Server?

The Godot MCP server is a bridge tool that connects the Claude AI assistant with the Godot game engine. Through this server, Claude can access a running Godot game project in real-time, view the scene structure, modify game object properties, call script methods, and even create new game nodes. This provides game developers with a powerful AI-assisted debugging and development tool.

How to Use the Godot MCP Server?

The usage process is divided into three main steps: 1) Start the MCP server and run the Godot game project; 2) Connect to the server through the MCP protocol in the Claude chat interface; 3) Use the provided tool commands to view and modify the game state. The entire process does not require writing additional code and can be operated through natural language instructions.

Applicable Scenarios

The Godot MCP server is particularly suitable for the following scenarios: game balance debugging (adjusting character attributes in real-time), rapid prototype testing (dynamically creating game objects), teaching demonstrations (visually displaying the game structure), automated testing (executing test cases through AI), and remote collaborative debugging (team members viewing the game state through an AI assistant).

Main Features

Scene Tree Viewing
View the complete scene structure in the Godot game in real-time, including all nodes, their hierarchical relationships, and attribute information. You can browse game objects like a file system.
Property Access and Modification
Read and modify various properties of game nodes, such as position, speed, and health. It supports operations on basic data types and complex object properties.
Script Method Invocation
Call C# or GDScript methods on game objects, pass parameters, and get return values. You can trigger game logic such as attacks, healing, and state switching.
Dynamic Node Creation
Create new game nodes at runtime, set initial properties, and add them to the scene tree. It supports creating various types of nodes such as sprites, colliders, and UI elements.
Performance Monitoring
Get performance data during game runtime, including frame rate (FPS), memory usage, and the number of nodes and other statistical information to help optimize game performance.
Game Screenshot
Capture the current game screen and save it as an image file for recording the game state, creating documentation, or analyzing visual effects.
Advantages
Real-time interaction: You can view and modify the state without stopping the game, greatly improving debugging efficiency.
Natural language operation: Through Claude's natural language understanding, complex operations can be completed with simple instructions.
Visual debugging: View game objects in a structured way, which is more intuitive than traditional log debugging.
Cross-platform support: Supports Godot projects on Windows, macOS, and Linux.
Safe and controllable: Operations are limited to debugging functions and will not affect the security of the game's core logic.
Limitations
Requires a running environment: Both the Godot game and the MCP server must be running.
Network dependency: Communicates through the local network, and the port must be available.
Performance impact: Frequent queries and modifications may slightly affect game performance.
Function limitations: It can only access interfaces exposed through the plugin and cannot directly operate private members.
Learning curve: You need to understand basic Godot node and attribute concepts.

How to Use

Prepare the Godot Project
Create a new Godot 4 project or open an existing project. Ensure that the project uses the C# or GDScript scripting language. Add basic game elements such as a player character to the project.
Install the MCP Plugin
Copy the MCP client plugin to the addons folder of the project, and then enable the plugin in the Godot editor. The plugin is responsible for communicating with the MCP server.
Start the MCP Server
Run the MCP server startup script in the terminal. The server listens on port 7777 by default, waiting for connection requests from Claude.
Run the Godot Game
Run the game project in the Godot editor (press F5). Ensure that the game window is displayed normally and the player character can move.
Connect in Claude
In the Claude chat interface, configure the connection to the locally running server through the MCP protocol. Claude will automatically discover available tools.
Start Interactive Debugging
Send instructions to Claude to operate the game, such as viewing the scene, modifying attributes, and calling methods. Observe the real-time changes in the game window.

Usage Examples

Game Balance Debugging
Dynamically adjust character attributes during game runtime to quickly test the impact of different values on the game experience. You can try multiple configurations without recompiling the code.
Bug Reproduction and Diagnosis
When encountering a game bug that is difficult to reproduce, record the game state through an AI assistant and analyze the scene structure and attribute values when the problem occurs.
Teaching Demonstration
In a teaching scenario, show students the internal structure of the game and modify parameters in real-time to let students intuitively understand the game mechanism.
Automated Test Scenarios
Create complex test scenarios and automatically generate environment configurations required for multiple test cases.

Frequently Asked Questions

Will the MCP server affect game performance?
Do I need to modify the game code to use this tool?
Is this tool safe? Will it be maliciously exploited?
Does it support the Godot 3.x version?
Can I debug multiple Godot projects simultaneously?
Why can't Claude find certain nodes or attributes?

Related Resources

Official Godot Engine Documentation
Complete documentation for the Godot game engine, including the node system, script API, and editor usage guide
Model Context Protocol Specification
The official technical specification of the MCP protocol, understanding the working principle and extension methods of the protocol
Example Project Repository
A project containing complete example code and demonstration scenes for quick start
Godot C# Programming Guide
A detailed tutorial on writing C# scripts in Godot, especially on how to expose attributes and methods for external access
MCP Server Configuration Video Tutorial
A video demonstrating the complete process from installation to use, suitable for visual learners
Community Support Forum
The Godot developer community where you can ask questions about MCP integration or share usage experiences

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase