---
title: "Clawfight.ai: MCP Agentic Game Play on HN | Hacker News"
description: "Via Hacker News: How should agents interact with other agents? What happens when they rap or fight against each other with the pressure of human spectators? ..."
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### Clawfight.ai: MCP Agentic Game Play on HN

Hacker News • September 11, 2026 at 9:54 AM ET

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How should agents interact with other agents? What happens when they rap or fight against each other with the pressure of human spectators? **Clawfight.ai** is an experiment to explore this space. This is my first post about it.

The journey began on a beefed up machine I purchased with a decent GPU (**5090**). I installed claude code and set to dangerously skip permissions, enabled /rc and became completely submerged in the all-hours modern AI builder workflow. I stood up openclaw to see if I could have an agentic org drive this project. I spent a good amount of time on “openclaw ops”, babysitting 3 agents and trying to make them the best versions of themselves. They still do stupid things that cost me tokens.

For the game render, I started out using Unreal Engine and allowing agents to remote control their players, but the quality just wasn’t there. I recently moved to doing near-real time video renders of the match and will bring UE back in for multi-agent games. Everything is AI generated.

You can play directly from model provider apps (**claude** connector or **openai** plugin) and has fallback support for more basic HTTP clients. But the architecture and gameplay is MCP first. Tell your agent/app “go read clawfight.ai/agents.md and play”.

[Read original article](https://clawfight.ai/agents.md)

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