Provides access to comprehensive Pokémon data from PokéAPI and includes battle simulation capabilities, enabling retrieval of Pokémon stats, types, abilities, moves, and evolution information, plus turn-based battle simulations with type effectiveness and status effects.
Pokémon MCP Server — Data Resource + Battle Simulation Tool
Overview
This project implements an MCP (Model Context Protocol) server that provides AI models with access to two key capabilities:
1- Pokémon Data Resource – a resource that exposes comprehensive Pokémon data from the public PokéAPI ( https://pokeapi.co/ ).
2- Battle Simulation Tool – a tool that simulates battles between any two Pokémon, including type effectiveness, stats-based damage, turn order, and basic status effects.
This server acts as a bridge between AI and the Pokémon world, enabling LLMs to both retrieve knowledge and interactively simulate battles.
Part 1: Pokémon Data Resource
Implementation
- Connects to the public PokéAPI ( https://pokeapi.co/ )
- Exposes comprehensive Pokémon information including:
- Base stats: HP, Attack, Defense, Special Attack, Special Defense, Speed
- Types (e.g., Fire, Water, Grass)
- Abilities
- Available moves and their effects (power, accuracy, type, effect text)
- Evolution information
MCP Resource
- Resource: pokemon://{name}
- Returns JSON including stats, types, abilities, moves (with effects), and evolution chain.
- Implements MCP resource design patterns to make this data accessible to LLMs.
Deliverables
- Code for the MCP server with the Pokémon data resource.
- Documentation (this README) describing how the resource exposes data.
- Example queries (examples/llm_examples.md).
Part 2: Battle Simulation Tool
Implementation
- Tool: simulate_battle(pokemon_a, pokemon_b, max_turns=100, seed=None)
- Simulates a battle between any two Pokémon using:
- Type effectiveness calculations (e.g., Water > Fire)
- Damage calculations based on stats and move power
- Turn order based on Speed stat
Status effects:
- Paralysis – chance to skip a turn
- Burn – recurring HP loss
- Poison – recurring HP loss
- Detailed battle logs showing each turn’s actions and outcomes
- Winner determination (first Pokémon to faint, or higher HP after max turns)
MCP Tool
- Exposed via MCP as a callable tool: simulate_battle
- Returns JSON object, e.g.:
Deliverables
- Code for the battle simulation tool following MCP tool specification
- Example usage in examples/llm_examples.md
Project Packaging
The submission includes a ZIP file containing:
- All code (pkmon_core/server.py, pkmon_core/battle.py)
- Supporting files (requirements.txt, README.md, examples/)
- A test script (test_part1.py)
- Clear instructions for setup and usage
Installation & Setup
Requirements
- Python 3.10+
- Virtual environment recommended
Setup
Running & Testing
Run the MCP Server
Note: The server runs in stdio mode and will appear idle, waiting for an MCP client. Stop with Ctrl+C.
Quick Python Tests
Expected output:
- JSON data for Pikachu (types, stats, moves, evolution chain)
- Battle log with turn-by-turn actions and a winner (e.g., Blastoise)
Examples for LLM Usage
See examples/llm_examples.md for prompt examples, such as:
- Summarizing a Pokémon’s stats, moves, and evolution
- Simulating a battle and explaining why the winner won
See examples/llm_examples.md
for prompt examples.
Notes
- Simplified mechanics: ignores PP, items, weather, etc.
- Focused on clarity and educational battle simulation
- Easily extensible to add more mechanics
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
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.
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