Pokémon
Connects AI models to the Pokémon world by providing extensive data and a battle simulation environment.
About
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
- Includes basic status effects (Paralysis, Burn, Poison)
- Realistic battle simulation with type effectiveness and damage calculations
- 0 GitHub stars
- Generates detailed battle logs and determines a winner
- Turn order determination based on Speed stat
- Comprehensive Pokémon data resource (stats, types, moves, evolution)
Use Cases
- Empowering AI models with comprehensive Pokémon knowledge retrieval
- Generating detailed explanations for battle outcomes and Pokémon characteristics
- Allowing LLMs to interactively simulate Pokémon battles
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