What are the prerequisites to run the server?
Python 3.8+, Node.js 16+, npm, and pip are required. The backend uses Django and the frontend uses React and MUI.
@GomesAdhikari
基本情報
MCP server for agentic AI to withdraw information
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Pokeapi-MCP": {
"command": "python",
"args": [
"manage.py",
"migrate"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Pokémon AI Demo is a full-stack application for exploring Pokémon data, comparing Pokémon, suggesting counters, and generating teams using AI. It features a Django REST API backend with a React/Material-UI frontend.
The system is deployed locally by setting up the Django backend (cd mcp_server, install dependencies, run migrations, start server with python manage.py runserver) and the React frontend (cd mcp_frontend, install packages via npm, start with npm start). Environment variables POKE_API_URL and GOOGLE_API_KEY are required in a .env file inside the mcpserver folder. Users interact through the web UI (four card-based sections) or by sending JSON POST requests directly to the API endpoints (/api/agent/pokemon-info/, /api/agent/compare/, /api/agent/strategy/, /api/agent/team/).
Python 3.8+, Node.js 16+, npm, and pip are required. The backend uses Django and the frontend uses React and MUI.
Create a `.env` file inside the `mcpserver` folder with `POKE_API_URL = "https://pokeapi.co/api/v2/"` and your `GOOGLE_API_KEY`.
It uses the public PokéAPI for Pokémon data and a Google AI API (via the provided key) for team generation.
No, this project is for educational and demo purposes only and is not affiliated with Nintendo, Game Freak, or The Pokémon Company.
Agents can send JSON POST requests to any of the four endpoints listed in the API documentation; for example, `requests.post('http://127.0.0.1:8000/api/agent/pokemon-info/', json={"name": "pikachu"})`.
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