
Godot MCP
Integrate FlowHunt with the Godot game engine via Godot MCP to automate project control, scene management, and AI-powered workflows. Launch, debug, and manage G...

Automate and enhance your Godot workflows with FlowHunt’s Godot MCP Server, enabling AI-powered project launches, editor control, and debug insight for game developers.
FlowHunt provides an additional security layer between your internal systems and AI tools, giving you granular control over which tools are accessible from your MCP servers. MCP servers hosted in our infrastructure can be seamlessly integrated with FlowHunt's chatbot as well as popular AI platforms like ChatGPT, Claude, and various AI editors.
Godot MCP Server is a Model Context Protocol (MCP) server designed to interface with the Godot game engine. It provides tools that allow AI assistants and developers to interact programmatically with Godot, automating various development and debugging workflows. With this server, users can launch the Godot editor, run Godot projects, and capture debug output directly through AI-driven workflows or automation tools. The Godot MCP Server streamlines integration between AI agents and the Godot engine, enhancing productivity for game developers by exposing core editor and runtime functionalities as programmable actions accessible via MCP.
No information about prompt templates is available in the repository.
No explicit MCP resources are listed in the repository.
mcpServers section using the JSON snippet below.{
"mcpServers": {
"godot-mcp": {
"command": "npx",
"args": ["@godot/mcp-server@latest"]
}
}
}
mcpServers.{
"mcpServers": {
"godot-mcp": {
"command": "npx",
"args": ["@godot/mcp-server@latest"]
}
}
}
{
"mcpServers": {
"godot-mcp": {
"command": "npx",
"args": ["@godot/mcp-server@latest"]
}
}
}
{
"mcpServers": {
"godot-mcp": {
"command": "npx",
"args": ["@godot/mcp-server@latest"]
}
}
}
Note:
To secure API keys or sensitive credentials, use environment variables in your configuration. Example:
{
"env": {
"GODOT_API_KEY": "${GODOT_API_KEY}"
},
"inputs": {
"projectPath": "/path/to/your/project"
}
}
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"godot-mcp": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “godot-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
| Section | Availability | Details/Notes |
|---|---|---|
| Overview | ✅ | Overview and purpose are clearly documented |
| List of Prompts | ⛔ | No prompt templates found |
| List of Resources | ⛔ | No explicit resources listed |
| List of Tools | ✅ | Editor launch, project run, debug output capture |
| Securing API Keys | ✅ | Environment variable usage example provided |
| Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Godot MCP provides a focused but narrow set of powerful integrations for Godot developers. It’s well-licensed (MIT), maintained, and offers clear setup instructions, but lacks explicit prompt/resource definitions and sampling/roots support. For Godot-centric automation, it’s practical and mature. Score: 6/10.
| Has a LICENSE | ✅ (MIT) |
|---|---|
| Has at least one tool | ✅ |
| Number of Forks | 53 |
| Number of Stars | 521 |
Seamlessly connect your AI workflows to the Godot engine. Automate project launches, debugging, and editor tasks with FlowHunt’s Godot MCP Server component.

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