# Godot MCP

> Use this tool when you need to integrate AI agents with the Godot game engine, enabling them to launch projects, capture debug output, and manage scenes and resources in real-time. It solves problems related to project analysis, scene creation, and execution control, providing a seamless interface for AI agents to interact with Godot. By using Godot MCP, AI agents can analyze and debug Godot projects efficiently, accepting project files and scene data as inputs and generating debug output and project analysis results as outputs.

Canonical page: https://skillsregistry.net/skills/jamesdowzard-godot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamesdowzard-godot-mcp

## Description

An MCP server that enables AI agents to interact with the Godot game engine by launching the editor, running projects, capturing debug output, and managing scenes and resources. It provides tools for project analysis, scene creation, and execution control to help agents understand and debug Godot projects in real-time.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww7f36pptz)
- **Repository:** <https://github.com/jamesdowzard/godot-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jamesdowzard-godot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamesdowzard-godot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamesdowzard-godot-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt