A weather intelligence MCP server built following the Navteca template tutorial.

Three tools for weather-based decisions:

1. outdoor_activity_check - Score conditions (0-100) for running, hiking, cycling
2. surf_conditions - Wave height, swell period, safety assessment for water sports
3. garden_watering_advisor - Should you water today based on soil moisture and rain forecast

Uses Open-Meteo (free, no API key required):

• Weather API
• Air Quality API
• Marine API
• Geocoding API

• Input validation with prompt injection detection
• Secure HTTP client with URL allowlisting
• TLS enforcement
• Response size limiting
• Retry with exponential backoff

This project includes baseline guardrails to reduce accidental secret exposure:

• .gitignore excludes .env files and private key material
• .pre-commit-config.yaml runs gitleaks before commits
• make scan-secrets performs a full workspace scan (--no-git)

1. Install gitleaks
2. Install pre-commit
3. Run:

pre-commit install
pre-commit run --all-files
make scan-secrets

pip install -e .
# or
uv sync

weather-intelligence-server
# or
python -m weather_intelligence.server