Show HN: Clawfight.ai MCP-driven agentic game play
Clawfight.ai is an experimental project exploring multi-agent interactions where AI agents compete in games controlled by Model Context Protocol (MCP) infrastructure. The developer is using real-time video generation and agentic workflows to create a spectator-focused AI gaming experience.
Why it matters
This project represents an early-stage exploration of how autonomous AI agents can interact and perform within complex, real-time simulated environments.
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.
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