Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pokemon-api-servershow me stats for Pikachu"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Pokemon RAG AI Assistant
An interactive Pokemon assistant that uses RAG (Retrieval Augmented Generation) to provide accurate information about Pokemon by combining the PokeAPI database with AI capabilities.
Features
Chat-based interface for Pokemon queries
Integration with PokeAPI for accurate Pokemon data
RAG system for enhanced AI responses
Modern Next.js frontend
FastAPI backend
Related MCP server: Pearl
Setup
Backend
Install Python dependencies:
pip install -r requirements.txtRun the backend:
uvicorn backend.main:app --reloadFrontend
Navigate to the frontend directory:
cd frontendInstall dependencies:
npm installRun the development server:
npm run devEnvironment Variables
Create a .env file in the root directory with:
OPENAI_API_KEY=your_openai_api_key