# GameDevBench MCP

> Use this tool when you need to benchmark and visualize game development performance within the Godot game engine. It solves problems related to capturing and analyzing runtime behavior, providing valuable insights for optimization and improvement. The tool accepts game scenes and settings as input and outputs visual representations of performance metrics, making it ideal for game developers and testers working on macOS with Godot.

Canonical page: https://skillsregistry.net/skills/seeleai-gamedevbench-mcp  
JSON: https://api.skillsregistry.net/v1/skills/seeleai-gamedevbench-mcp

## Description

Enables LLM agents to capture screenshots and visualize runtime behavior within the Godot game engine for game development benchmarking. It utilizes AppleScript to provide display capture functionality for agents running on macOS.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **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/resntw7g4g)
- **Repository:** <https://github.com/SeeleAI/gamedevbench-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": "seeleai-gamedevbench-mcp"
    }
  }
}
```

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