Weather MCP Server

A Model Context Protocol (MCP) server that provides weather data and predictions using the Open-Meteo API.

Features

• Current Weather - Get real-time weather conditions for any location

• Weather Forecast - 7-day detailed forecast with temperatures, precipitation, and wind

• Weather Predictions - Analyze trends and provide natural language predictions

• Smart Recommendations - Personalized advice based on weather conditions

Related MCP server: Weather Prediction MCP Server

Architecture

The project follows a clean separation of concerns:

• weather_broker.py - Adapter module that handles all HTTP/API interactions with Open-Meteo

• weather_mcp_server.py - FastMCP server that exposes weather capabilities as MCP tools

• app.yaml - Databricks App configuration for deployment

• Clean data flow: API → Broker → Dictionaries → MCP Tools → Formatted responses

Installation

pip install -r requirements.txt

Usage

Running the Server

Local Development

python weather_mcp_server.py

Databricks App Deployment

# Deploy as a Databricks App
databricks apps deploy weather-mcp-server \
  --source-code-path /Workspace/Users/<your-email>/weather-mcp-agent

# Check app status
databricks apps get weather-mcp-server

Available Tools

1. get_current_weather(location: str)

Get current weather conditions for a location.

get_current_weather("San Francisco")

2. get_forecast(location: str, days: int = 7)

Get weather forecast for up to 16 days.

get_forecast("London, UK", days=5)

3. predict_weather_trend(location: str)

Analyze weather trends and provide predictions.

predict_weather_trend("Tokyo")

4. get_weather_recommendation(location: str)

Get personalized recommendations based on current and upcoming weather.

get_weather_recommendation("New York")

Data Source

Weather data is provided by Open-Meteo, a free weather API that requires no authentication.

Example Outputs

Current Weather

Current weather in San Francisco, United States:

Condition: Partly cloudy
Temperature: 18°C (feels like 17°C)
Humidity: 65%
Wind: 15 km/h from 270°
Precipitation: 0 mm

Weather Prediction

Weather Analysis for London, United Kingdom:

Current Conditions: Overcast at 12°C

7-Day Outlook:
The weather is cooling down over the next week, with temperatures averaging 10.5°C.
You can expect frequent rain, with total precipitation around 45.2 mm.

Recommendations

Weather Recommendations for Tokyo, Japan:

🧥 It's quite cold. A jacket and warm clothing recommended.
☔ High chance of rain in the next few days. Keep an umbrella handy!
✨ Great conditions for outdoor activities!

Prediction & Recommendation Thresholds

The server uses the following thresholds for weather recommendations:

Temperature Recommendations

• Cold (< 10°C): Jacket and warm clothing recommended

• Cool (10-15°C): Light jacket suggested

• Comfortable (15-25°C): No special clothing needed

• Warm (> 25°C): Light, breathable clothing suggested

Precipitation Recommendations

• High chance (> 60% probability): Umbrella strongly recommended

• Moderate chance (30-60% probability): Consider bringing umbrella

• Low chance (< 30% probability): Umbrella not needed

Wind Conditions

• Strong wind (> 30 km/h): Outdoor activity warnings

• Moderate wind (15-30 km/h): Normal conditions

• Light wind (< 15 km/h): Ideal outdoor conditions

Technical Details

• Uses FastMCP for MCP server implementation

• HTTP requests handled via httpx with 30-second timeout

• Geocoding resolves location names to coordinates

• WMO weather codes interpreted to human-readable conditions

• Temperature in Celsius, wind speed in km/h

• Supports any location worldwide

• Request middleware with context tracking (host, port, user identity)

• Deployable as a Databricks App

Error Handling

The server gracefully handles:

• Invalid location names

• API connection issues

• Invalid parameter ranges

• Missing data

Project Structure

weather-mcp-agent/
├── weather_mcp_server.py   # Main FastMCP server
├── weather_broker.py        # Weather API adapter
├── app.yaml                 # Databricks App configuration
├── requirements.txt         # Python dependencies
├── setup_secrets.py         # Secret management helper
├── DEPLOYMENT_FIX.md        # Deployment troubleshooting
└── README.md                # This file

Configuration

Environment Variables

• DATABRICKS_APP_PORT - Server port (default: 8000)

• DATABRICKS_APP_HOST - Server host (default: 0.0.0.0)

Secrets Management

Use setup_secrets.py to securely store credentials (lakebase url) in Databricks Secrets instead of hardcoding them in your configuration files.

Dependencies

• fastmcp>=0.2.0 - FastMCP server framework

• httpx>=0.27.0 - HTTP client for API requests

• typing_extensions>=4.12.0 - Type hints support

Development Notes

• The server runs on host 0.0.0.0 and port 8000 by default

• FastMCP uses stdio transport for Model Context Protocol communication

• All weather data comes from the free Open-Meteo API (no API key required)

• Request middleware captures context using Python's contextvars for thread-safe operation

Transcript of agent interactions

Query 1: Recommendation Logic

• Prompt: "Should I bring a jacket to Austin this weekend?"

• Tool Called: predict_umbrella_needed(location="Austin, TX", target_date_offset=1)

• Response: "Based on the weather forecast, it's unlikely that you'll need a jacket in Austin this weekend. The temperatures are expected to be quite warm, ranging from 25.6°C to 40.1°C, with minimal chances of precipitation. You may want to consider packing light, breathable clothing and sunscreen instead."

Query 2: Forecast

• Prompt: "What does the weather forecast look like for Austin, TX?"

• Tool Called: get_forecast(location="Austin, TX", days=3)

• Response: "The weather forecast for Austin, TX from August 10th to August 12th is as follows:\n August 10th: Overcast with temperatures ranging from 26.5°C to 37.3°C and an 8% chance of precipitation.\n August 11th: Overcast with temperatures ranging from 26.1°C to 38.5°C and a 6% chance of precipitation.\n August 12th: Overcast with temperatures ranging from 25.6°C to 40.1°C and a 0% chance of precipitation.\n It's expected to be quite warm and dry, with minimal chances of rain during this period."

Query 3: Current Weather

• Prompt: "What is the current weather in NYC?"

• Tool Called: get_current_weather(location="New York City")

• Response: "The current weather in NYC is a clear sky with a temperature of 23.8°C (feeling like 26.1°C), humidity at 77%, and a wind speed of 8.9 km/h from the northwest. There is no precipitation at the moment. Please note that this information was last updated on August 10th, 2026, at 3:45 AM, so it's recommended to check for updates for the most current weather conditions."

Query 4: Ask to clarify ambiguous location

• Prompt: "can you share the current weather for sjkdfshjdff?"

• Response: "I couldn't find any information on a location called "sjkdfshjdff". It's possible that it's a misspelling or a non-existent location. If you could provide a valid city or location name, I'd be happy to try and help you with the current weather."

Troubleshooting

If you encounter deployment issues, see DEPLOYMENT_FIX.md for common problems and solutions.

License

MIT License