Weather-mcp-server
MCP server that provides current weather, multi-day forecasts, umbrella recommendations, severe weather alerts (US), and side-by-side city comparisons using Open-Meteo and NWS APIs, with no API key required.
README
Weather-Prediction MCP Server + Agent
Day 3 homework: a weather-forecast MCP server (pattern borrowed from
databricks-lakebase-app-day-3's Alpaca paper-trading MCP server) wired to
a Databricks Agent Bricks agent.
Architecture
Agent Bricks agent --(MCP tool calls)--> mcp_server/weather_mcp_server.py --(REST)--> Open-Meteo (+ NWS alerts, US only)
mcp_server/weather_mcp_server.py- FastMCP server exposing 5 tools over streamable HTTP (the transport Databricks' MCP gateway expects).mcp_server/weather_broker.py- adapter module: all HTTP calls and response parsing for Open-Meteo (geocoding + forecast) and the NWS alerts API. No API key required for either.mcp_server/app.yaml/mcp_server/requirements.txt- Databricks App config.
Weather API + auth
Open-Meteo (https://open-meteo.com/) - free, no signup, no API key, ~10,000 calls/day (non-commercial use). No Databricks secret needed. NWS alerts (https://api.weather.gov/) - also free, no key, US-only.
Tools
| Tool | Purpose |
|---|---|
get_current_weather(location) |
Current temperature, humidity, wind, conditions |
get_forecast(location, days) |
Multi-day forecast (temp high/low, precip %, conditions) |
predict_umbrella_needed(location, date) |
Judgment call: recommends an umbrella if precipitation probability > 40% (tunable via UMBRELLA_THRESHOLD_PCT) |
get_severe_weather_alerts(location) (stretch) |
Active NWS alerts, US only |
compare_weather(locations, date) (stretch) |
Side-by-side forecast comparison across cities |
Setup steps
cd mcp_server && pip install -r requirements.txtpython weather_mcp_server.py- serves MCP on:8000locally.- Sanity-check with an MCP Inspector or
curlbefore deploying. - Push this repo to your own Git remote.
- In Databricks: create a Git folder pointing at this repo, then
Compute > Apps > Create app > Custom, name it e.g.
weather-forecast-mcp, source = the Git folder'smcp_server/subfolder. Deploy, copy the app URL. - AI Gateway > MCPs > Add MCP - register the app URL as an external MCP server (streamable HTTP).
- Agents > Agent Bricks > Create agent - add the registered MCP server as a tool, paste in the system prompt below, deploy, and chat with it.
Agent system prompt
You are a weather assistant. Always call a weather tool before answering any question about current conditions or forecasts - never guess or make up weather data. Use get_current_weather for "what's it like right now" questions, get_forecast for future-looking questions, and predict_umbrella_needed when the user asks whether they need an umbrella, jacket, or similar. If a location can't be resolved or a tool returns an error, tell the user plainly and ask them to clarify the location rather than guessing. Only use get_severe_weather_alerts for US locations.
Demo
- "Will it rain in Chicago tomorrow?"
- "Should I bring a jacket to Austin this weekend?"
- "Compare the weather in Miami and Denver on 2026-08-15."
- "What's the weather right now in Dakar?"
(see attached transcripts/screenshots for full tool-call traces and answers)
Test Transcripts
7. Severe-weather alerts: US vs non-US
Test 7a: US City - Miami, Florida
>>> get_severe_weather_alerts('Miami')
Response:
{
"location": "Miami",
"country": "United States",
"alerts": [
{
"event": "Heat Advisory",
"severity": "Moderate",
"headline": "Heat Advisory issued August 9 at 1:15AM EDT until August 9 at 6:00PM EDT by NWS Miami FL",
"effective": "2026-08-09T01:15:00-04:00",
"expires": "2026-08-09T18:00:00-04:00"
}
]
}
Result: ✓ Returns active alerts from NWS API (when alerts exist)
Test 7b: Non-US City - Dakar, Senegal
>>> get_severe_weather_alerts('Dakar')
Response:
{
"location": "Dakar",
"country": "Senegal",
"alerts": [],
"note": "NWS alerts only cover US locations; this location is outside the US."
}
Result: ✓ Returns empty alerts with explanatory note for non-US locations
Test 7c: US City with no active alerts - Chicago, Illinois
>>> get_severe_weather_alerts('Chicago')
Response:
{
"location": "Chicago",
"country": "United States",
"alerts": []
}
Result: ✓ Returns empty list when no alerts are active (still queries NWS API)
Run the tests yourself:
python test_severe_weather_alerts.py
For your agent playground, try asking:
- "Are there any weather alerts in Miami?"
- "Check for severe weather in Dakar, Senegal"
- "What weather alerts are active in San Francisco?"
Notes
- No secrets committed; Open-Meteo and NWS need no auth. If you swap in a
key-requiring API (e.g. WeatherAPI.com), store the key as a Databricks
secret following the
_secret()/WorkspaceClient().secrets.get_secret()pattern from the Day 3 reference repo'salpaca_broker.py- never hardcode it.
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