stormscope CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What This Is

StormScope is a real-time US weather data MCP server. It aggregates data from NWS (National Weather Service), NOAA SPC (Storm Prediction Center), Iowa Environmental Mesonet (NEXRAD radar), Open-Meteo (500mb upper-air model data), and optionally WeatherFlow Tempest personal weather stations into 9 tools consumed by AI assistants via the FastMCP framework.

Commands

uv sync --group dev              # install all dependencies including dev
uv run python -m pytest          # run all tests
uv run python -m pytest tests/test_nws.py           # run a single test file
uv run python -m pytest tests/test_nws.py -k "test_name"  # run a single test

There is no separate build or lint step. The project uses hatchling as build backend but day-to-day development is just edit-and-test. Requires Python >=3.11.

Architecture

All code lives in src/stormscope/. The server exposes 9 async MCP tools defined in server.py, with implementations in tools.py that aggregate results from seven data-source clients:

• nws.py — NWS API client (conditions, forecasts, alerts, gridpoint data). Has per-endpoint TTL caching and retry logic.
• spc.py — SPC outlook client. Parses GeoJSON for categorical and probabilistic severe weather risk (tornado/wind/hail), days 1-3.
• codsus.py — WPC Coded Surface Frontal Positions (CODSUS/ASUS02) parser and client. Fetches the hand-analyzed surface bulletin from IEM every 3 hours, parses 7-digit encoded coordinates into structured front segments and pressure centers. Used by get_surface_analysis for current conditions.
• wpc.py — WPC national forecast chart client. Parses GeoJSON for frontal positions and pressure centers from the prognostic chart, days 1-3. Used by get_surface_analysis with product="forecast".
• iem.py — Iowa Mesonet client for NEXRAD radar station metadata and imagery URLs.
• openmeteo.py — Open-Meteo client for 500mb pressure-level data (heights, temperature, wind). Fetches a 5-point cross pattern for vorticity computation.
• tempest.py — WeatherFlow Tempest personal weather station client. Resolves stations by ID, name, or proximity and enriches NWS conditions with hyper-local sensor readings (solar radiation, UV index, lightning, air density, wet bulb temperature). Falls back silently to NWS when unavailable.