GameDevBench MCP
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.
README
GameDevBench
A benchmark suite for evaluating LLM agents on game development tasks.
Paper: GameDevBench: A Comprehensive Benchmark for Game Development
Overview
GameDevBench contains 132 game development tasks to evaluate LLM agents' ability to complete game development problems in the Godot game engine.
Installation
Prerequisites
-
Godot 4.x - Download and install from godotengine.org
- Ensure
godotis available in your PATH, or setGODOT_EXEC_PATHenvironment variable
- Ensure
-
Python 3.10+ - Required for all agents
- Python 3.12+ - Required for OpenHands agent
Install Agents
Install the agent(s) you want to use:
- Claude Code - Claude Code
- Codex - Codex
- Gemini CLI - Gemini CLI
- OpenHands - OpenHands
Setup Tasks
Before running the benchmark, unzip the tasks folder:
unzip tasks.zip
Note: The tasks are distributed as a zip file to prevent accidental data leakage.
Configuration
Environment Variables
You can use the built-in plans for claude-code, codex, and gemini-cli, or provide API keys directly. For OpenHands you must provide your own API keys. See .env.example for a complete list of optional environment variables.
Usage
Running the Benchmark
uv run python gamedevbench/src/benchmark_runner.py \
--agent AGENT \
--model MODEL \
run --task-list tasks.yaml
Available Agents
claude-code- Anthropic's Claude Code CLIcodex- OpenAI Codexgemini-cli- Google Gemini CLIopenhands- OpenHands (requires Python 3.12+)
Command-Line Options
--agent AGENT- Agent to use (required)--model MODEL- Model name (e.g.,claude-sonnet-4.5-20250929)--enable-mcp- Enable MCP (Model Context Protocol) server for supported agents- Provides screenshot capabilities to the agent
- Note: MCP server requires macOS (see limitations below)
--use-runtime-video- Enable runtime video mode- Appends Godot runtime instructions to prompts
- Helps agents understand how to run and test their changes
--skip-display- Skip tasks that require displayrun --task-list FILE- Run tasks from YAML file (e.g.,tasks.yaml)
Platform Limitations
macOS-only Features:
- MCP server screenshot functionality (
--enable-mcp) currently only works on macOS- Uses AppleScript for display capture
- Requires setting
GODOT_SCREENSHOT_DISPLAYenvironment variable to correct display number
Results
Benchmark results are saved to results/ directory with the following information:
- Task success/failure status
- Token usage and costs
- Execution time
- Validation results
Citation
@misc{chi2026gamedevbenchevaluatingagenticcapabilities,
title={GameDevBench: Evaluating Agentic Capabilities Through Game Development},
author={Wayne Chi and Yixiong Fang and Arnav Yayavaram and Siddharth Yayavaram and Seth Karten and Qiuhong Anna Wei and Runkun Chen and Alexander Wang and Valerie Chen and Ameet Talwalkar and Chris Donahue},
year={2026},
eprint={2602.11103},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2602.11103},
}
License
gamedevbench-bp
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