Which integrations are available for this server?

The server uses FastAPI for its backend to handle requests and integrate with the PokeAPI database The server has a Next.js frontend for the chat-based interface The server uses OpenAI's API for its RAG (Retrieval Augmented Generation) system to provide enhanced AI responses for Pokemon queries

How do I use pokemon-api-server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@pokemon-api-server show 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: PokeAPI MCP Server

Setup

Backend

Install Python dependencies:

pip install -r requirements.txt

Run the backend:

uvicorn backend.main:app --reload

Frontend

Navigate to the frontend directory:

cd frontend

Install dependencies:

npm install

Run the development server:

npm run dev

Environment Variables

Create a .env file in the root directory with:

OPENAI_API_KEY=your_openai_api_key

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

Reddit Discussion

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