Connects AI models to the Pokémon world by providing extensive data and a battle simulation environment.
This project implements an MCP (Model Context Protocol) server designed to bridge AI models with the rich universe of Pokémon. It offers a comprehensive Pokémon Data Resource, accessing information like base stats, types, abilities, moves, and evolution chains from PokéAPI. Additionally, it features a Battle Simulation Tool capable of accurately simulating battles between any two Pokémon, incorporating type effectiveness, stats-based damage, turn order, and basic status effects. This server empowers large language models (LLMs) to not only retrieve detailed Pokémon knowledge but also to interactively simulate and understand battle dynamics.
Key Features
01Includes basic status effects (Paralysis, Burn, Poison)
02Realistic battle simulation with type effectiveness and damage calculations
030 GitHub stars
04Generates detailed battle logs and determines a winner
05Turn order determination based on Speed stat
06Comprehensive Pokémon data resource (stats, types, moves, evolution)
Use Cases
01Empowering AI models with comprehensive Pokémon knowledge retrieval
02Generating detailed explanations for battle outcomes and Pokémon characteristics
03Allowing LLMs to interactively simulate Pokémon battles
