MCP server for METAR/TAF aviation weather data
SaferSkills independently audited mcp-metar (MCP Server) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server for METAR/TAF aviation weather data
mcp-name: io.github.daedalus/mcp-metar
pip install mcp-metarfrom mcp_metar import get_metar, get_taf, get_airport_weather
# Get current METAR for an airport
metar = get_metar("KJFK")
print(metar)
# Get TAF forecast
taf = get_taf("KJFK")
print(taf)
# Get both METAR and TAF
weather = get_airport_weather("KJFK")
print(weather["metar"])
print(weather["taf"])This package provides an MCP server that can be used with MCP-compatible clients. Configure your client with:
{
"mcpServers": {
"mcp-metar": {
"command": "mcp-metar",
"env": {}
}
}
}get_metar: Fetch current METAR weather data for an airport by ICAO codeget_taf: Fetch TAF (Terminal Aerodrome Forecast) for an airport by ICAO codeget_airport_weather: Fetch both METAR and TAF for an airport by ICAO codegit clone https://github.com/daedalus/mcp-metar.git
cd mcp-metar
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint
ruff check src/ tests/
# type check
mypy src/MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.