Weather Tool Calling with Cline and MCP

A small Python MCP server that lets an LLM fetch real weather data.

The user asks a weather question in Cline. The LLM decides whether to call a weather tool, generates the required arguments, and sends the request to this server. The server fetches data from the US National Weather Service (NWS), then the LLM uses the result to write the final answer.

How it works

User question
    -> Cline sends the question and tool definitions to the LLM
    -> The LLM selects a weather tool and generates its arguments
    -> Cline calls the Python MCP server
    -> The server fetches real data from api.weather.gov
    -> The LLM turns the tool result into a natural-language answer

Related MCP server: Weather MCP Server

Tech stack

• Python 3.14

• MCP Python SDK

• Cline as the MCP client and LLM host

• OpenRouter with a DeepSeek model for the demo

• HTTPX

• US National Weather Service API

• uv

Tools

get_forecast

Gets the next five forecast periods for a US location.

{
  "latitude": 40.7128,
  "longitude": -74.006
}

get_alerts

Gets active weather alerts for a US state.

{
  "state": "NY"
}

Setup

Requirements:

• Python 3.14

• uv

• Visual Studio Code with Cline

• An API key for a tool-capable LLM configured in Cline

Install the project:

git clone <https://github.com/yang648557392/weather-mcp-tool-calling.git>
cd weather
uv sync

Add the MCP server to Cline's MCP settings. Replace the path with the absolute path to this project:

{
  "mcpServers": {
    "weather": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/weather", "run", "weather.py"],
      "disabled": false
    }
  }
}

Restart the MCP server in Cline. Cline should discover get_forecast and get_alerts automatically.

If Cline cannot find uv, replace "uv" with the absolute path returned by:

which uv

Usage

Ask Cline a question such as:

What will the weather be like in New York tomorrow?
Are there any active weather alerts in California?

Cline will show the selected tool, its arguments, the tool result, and the LLM's final response.

Limitations

• The NWS API only supports locations covered by the United States weather service.

• The LLM is responsible for converting a location name into coordinates.

• Cline is required as the LLM host and MCP client.

• Provider API keys are stored in Cline and must not be committed to this repository.

Author

Mingzhe Yang