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Weather MCP Server

by codewith1984

🌦️ Weather MCP Server Demo

A Model Context Protocol (MCP) compatible server that provides weather information using Ollama's LLM capabilities. This server exposes a get-weather tool that can be used by MCP clients to retrieve weather information for any city.


🛠 Prerequisites

  • Node.js v18+
  • Ollama installed and running locally
  • Ollama model: llama3 (or configure your preferred model)

🚀 Complete Setup & Installation

✅ Step 1: Clone and Install

git clone https://github.com/codewith1984/weather-mcp-server-typescript.git cd weather-mcp-server npm install

⚙️ Step 2: Setup Environment

# Copy environment template cp .env.example .env

####Edit the .env file to contain: OLLAMA_API_URL=http://localhost:11434/api/generate OLLAMA_MODEL=llama3

🤖 Step 3: Install and Setup Ollama

# Install Ollama (if not already installed) # Visit https://ollama.com/ for installation instructions # Start Ollama service ollama serve # In another terminal, pull the model ollama pull llama3 # Verify Ollama is working curl http://localhost:11434/api/version

Step 4: Test Ollama Connection

# Test if Ollama can generate responses curl http://localhost:11434/api/generate -d '{ "model": "llama3", "prompt": "Hello world", "stream": false }'

Step 5: Run Diagnostics

# Run diagnostic to check if everything is working npm run diagnose

🎯 Running the MCP Server

Start the Server

npm start
Expected output:

🚀 MCP Weather Server starting... 📡 Ollama URL: http://localhost:11434/api/generate 🤖 Model: llama3 ✅ MCP Server connected and ready!

🔍 Testing with MCP Inspector

Method 1: CLI Inspector

# Install MCP Inspector globally npm install -g @modelcontextprotocol/inspector # Run inspector mcp-inspector # Follow the web interface instructions

⚙️ Configuration

Environment Variables (.env file)

OLLAMA_API_URL=http://localhost:11434/api/generate OLLAMA_MODEL=llama3

Performance Tuning

The server is optimized for quick responses:

15-second timeout for HTTP requests Aggressive Ollama parameters for faster generation Fallback from HTTP API to CLI if needed

##🔧 Troubleshooting

Quick Diagnosis

# Run the diagnostic script npm run diagnose

Common Issues & Solutions

Issue: "Request timed out" errors
# Check if Ollama is running ps aux | grep ollama # Start Ollama if not running ollama serve # Check if model is available ollama list | grep llama3 # If model not found, pull it ollama pull llama3
Issue: "Request timed out" errors
# Check if Ollama is running ps aux | grep ollama # Start Ollama if not running ollama serve # Check if model is available ollama list | grep llama3 # If model not found, pull it ollama pull llama3
Issue: "Model not found" errors
# List available models ollama list # Pull the required model ollama pull llama3 # Or try a smaller model for faster responses ollama pull llama3:8b

Issue: Connection errors
# Verify Ollama is accessible curl http://localhost:11434/api/version # Check if port 11434 is open netstat -an | grep 11434 # Restart Ollama service pkill ollama ollama serve
Issue: MCP Inspector connection fails
# Make sure your server is running npm start # Check the working directory path is correct pwd # Verify tsx is available npm list tsx

Performance Tips

# Use a smaller model for faster responses ollama pull llama3:8b # Update .env to use the smaller model echo "OLLAMA_MODEL=llama3:8b" >> .env # Monitor system resources top -p $(pgrep ollama)

📁 Project Structure

weather-mcp-server/ ├── .env # Environment configuration ├── .env.example # Environment template ├── .gitignore # Git ignore rules ├── main.ts # MCP server implementation ├── ollamaClient.ts # Ollama API client ├── diagnose.ts # Diagnostic tool ├── package.json # Dependencies and scripts ├── tsconfig.json # TypeScript configuration └── README.md # This file

✅ Success Checklist

Complete this checklist to ensure everything is working:

Node.js v18+ installed Ollama installed and running (ollama serve) Model downloaded (ollama pull llama3) Project dependencies installed (npm install) Environment configured (.env file exists) Diagnostic passes (npm run diagnose) MCP server starts successfully (npm start) MCP Inspector connects successfully Weather tool responds to test quer

🚀 Quick Start Commands

# Complete setup in one go git clone https://github.com/your-username/weather-mcp-server.git cd weather-mcp-server npm install cp .env.example .env ollama serve & ollama pull llama3 npm run diagnose npm start

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Make your changes
  4. Test with MCP Inspector
  5. Submit a pull request

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