Skip to main content
Glama
TaifAlsadoon

Pokémon MCP Server

by TaifAlsadoon

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.

Related MCP server: Pokémon MCP Server

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.:

{
  "winner": "blastoise",
  "log": [
    "--- Turn 1 ---",
    "charizard used fire-punch → blastoise lost 14 HP!",
    "blastoise is now affected by burn!",
    ...
  ]
}

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


git clone https://github.com/TaifAlsadoon/pokemon-mcp-server.git
cd pokemon-mcp-server

python -m venv .venv
source .venv/bin/activate  

pip install -r requirements.txt

Running & Testing

Run the MCP Server

python -m pkmon_core.server

Note: The server runs in stdio mode and will appear idle, waiting for an MCP client. Stop with Ctrl+C.

Quick Python Tests

python - << 'PY'
from pkmon_core.server import get_pokemon, simulate_battle

print("Resource sample (pikachu) ->")
print(get_pokemon("pikachu")[:200], "...\n")

print("Battle sample ->")
res = simulate_battle("charizard", "blastoise", seed=42, max_turns=20)
print("Winner:", res["winner"])
print("\n".join(res["log"][:10]))
PY

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

F
license - not found
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    B
    quality
    D
    maintenance
    Enables AI agents to access comprehensive Pokémon data through PokeAPI, including detailed Pokémon information, type effectiveness charts, encounter locations, and search capabilities. Provides a complete toolkit for retrieving stats, abilities, sprites, battle mechanics, and wild encounter data for all Pokémon.
    Last updated
    4
    265
    MIT
  • F
    license
    C
    quality
    D
    maintenance
    Enables interaction with live Pokémon data through PokeAPI, providing comprehensive Pokémon information, battle calculations, moveset validation, and team analysis. Supports searching Pokémon and moves, calculating stats, checking type effectiveness, and analyzing team synergies with in-memory caching for improved performance.
    Last updated
    9
  • A
    license
    -
    quality
    D
    maintenance
    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.
    Last updated
    14
    ISC

View all related MCP servers

Related MCP Connectors

  • Look up Pokémon, moves, abilities, items, natures, and type matchups from PokéAPI v2.

  • 500+ deterministic tools for AI agents: math, conversion, validation, hashing, encoding, date/time.

  • US weather, alerts, earthquakes and elevation for AI agents, from NWS/NOAA and USGS. No API keys.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TaifAlsadoon/pokemon-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server