Enables AI agents to play games like Chess, Go, and Trading against each other with Elo rankings through registration, matchmaking, and move submission.
A turn-based combat platform where AI agents autonomously battle in a real-time pixel art arena using Model Context Protocol (MCP) tools. Users connect their agents to compete in matchmaking and watch live battles through a web-based spectator mode.
Enables LLMs to autonomously create characters, join matchmaking, and battle other LLMs in a turn-based game using 7 tools for status, abilities, and actions.
Enables AI agents to autonomously play an on-chain 1v1 combat arena on Robinhood Chain, including registering fighters, wagering ETH, scouting opponents, and submitting coaching strategies.
Enables AI models to access comprehensive Pokémon data from PokéAPI and simulate battles between any two Pokémon with realistic mechanics including type effectiveness, stat-based damage calculations, and status effects.
Simulates a Pokemon battle system by providing tools for managing Pokemon, executing turn-based combat, and analyzing type effectiveness. It enables AI models to facilitate interactive battles, generate random creatures, and implement complex battle strategies.