🌤️ Weather Microservice with MCP + UV

A lightweight, MCP-powered weather API service using uv for Python dependency management and Docker for containerized deployment. Built for seamless local development, Claude Desktop integration, and scalable deployment.

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🚀 Features

• 🧪 Fast local dev with live reload using uv and mcp
• 🐳 Dockerized for production or staging environments
• 🧠 Claude Desktop integration-ready
• 🔐 Loads secrets securely from .env or environment variables

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⚙️ Running Your Server

🧪 Development Mode (with MCP Inspector)

Start your server in development mode with hot reloading:

uv run mcp dev server.py

Add dependencies on-the-fly:

uv run mcp dev server.py --with pandas --with numpy

Mount your local code as editable:

uv run mcp dev server.py --with-editable .

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🧠 Claude Desktop Integration

Install your server to Claude Desktop:

uv run mcp install server.py

Custom name:

uv run mcp install server.py --name "My Analytics Server"

Inject environment variables:

uv run mcp install server.py -v API_KEY=abc123 -v DB_URL=postgres://...
uv run mcp install server.py -f .env

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🔧 Direct Execution

For more control or advanced deployments:

from mcp.server.fastmcp import FastMCP

mcp = FastMCP("My App")

if __name__ == "__main__":
    mcp.run()

Run it manually:

uv run python server.py
# or
uv run mcp run server.py

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🐳 Docker Support

🔨 Build Image

docker build -t weather-service .

▶️ Run Container

docker run --env-file .env -p 6274:6274 weather-service

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📁 Project Structure

.
├── server.py
├── .env
├── pyproject.toml
├── uv.lock
├── Dockerfile
└── README.md

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🔒 Environment Variables

Create a .env file:

API_KEY=your_api_key_here
DB_URL=your_database_url_here

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📦 Dependency Management

Use uv to manage and sync dependencies:

uv pip install mcp
uv pip install pandas numpy
uv sync  # sync dependencies based on uv.lock

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📃 License

MIT License – use freely, modify responsibly.