GameDevBench MCP
Provides screenshot and display capture functionality using AppleScript, enabling agents to visually monitor and evaluate Godot game development tasks.
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In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GameDevBench MCPcapture a screenshot of the current Godot game window"
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Here is a step-by-step guide with screenshots.
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
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.zipNote: 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.yamlAvailable 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 agentsProvides screenshot capabilities to the agent
Note: MCP server requires macOS (see limitations below)
--use-runtime-video- Enable runtime video modeAppends 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 macOSUses 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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