by ee0pdt · MCP Server · ★ 484
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Godot MCP (Model Context Protocol) A comprehensive integration between Godot Engine and AI assistants using the Model Context Protocol (MCP). This plugin allows AI assistants to interact with your Godot projects, providing powerful capabilities for code assistance, scene manipulation, and project management. Features Full Godot Project Access: AI assistants can access and modify scripts, scenes, nodes, and project resources Two-way Communication: Send project data to AI and apply suggested changes directly in the editor Command Categories: Node Commands: Create, modify, and manage nodes in your scenes Script Commands: Edit, analyze, and create GDScript files Scene Commands: Manipulate scenes and their structure Project Commands: Access project settings and resources Editor Commands: Control various editor functionality Quick Setup Clone the Repository Set Up the MCP Server Set Up Claude Desktop Edit or create the Claude Desktop config file: Add the following configuration (or use the included as a reference): json { "mcpServers": { "godot-mcp": { "command": "node", "arg
| Stars | 484 |
| Forks | 48 |
| Language | GDScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 45.2/100 |
| Open Issues | 19 |
| Last Updated | 2025-03-19 |
| Created | 2025-02-27 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~467k |
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Godot-MCP is An MCP for Godot that lets you create and edit games in the Godot game engine with tools like Claude. It is categorized as a MCP Server with 484 GitHub stars.
Godot-MCP is primarily written in GDScript. It covers topics such as claude, gamedev, godot.
You can find installation instructions and usage details in the Godot-MCP GitHub repository at github.com/ee0pdt/Godot-MCP. The project has 484 stars and 48 forks, indicating an active community.
Godot-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Godot-MCP on Agent Skills Hub include godot-mcp-pro, Doyunha-Gopeak, Gopeak-godot-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.