Query real-time METAR and TAF aviation weather data for airports worldwide. Built for developers integrating weather information into flight planning, aviation apps, or weather analysis tools.
io.github.daedalus/mcp-metar
Local install
STDIO
No auth required
How models use it and what it is built for.
Query real-time METAR and TAF aviation weather data for airports worldwide. Built for developers integrating weather information into flight planning, aviation apps, or weather analysis tools.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Daedalus MCP Metar.
Paste any of these into Agent Studio after connecting Daedalus MCP Metar.
Common questions about connecting and running Daedalus MCP Metar.
What data sources does this MCP server use for METAR and TAF?
The server fetches real-time METAR (Meteorological Aerodrome Report) and TAF (Terminal Aerodrome Forecast) data from standard aviation weather sources. Check the repository documentation for specific data provider details and update frequency.
Do I need an API key or authentication to use this server?
The registry metadata does not specify required environment variables or API keys. Refer to the GitHub repository (io.github.daedalus/mcp-metar) for setup instructions and any authentication requirements.
What airport codes does this server support?
The server supports standard ICAO airport codes (e.g., KJFK, EGLL, KSFO). Most major airports worldwide are included; consult the documentation for coverage details or limitations.
Can I get historical METAR data or only current observations?
The server provides real-time METAR observations and TAF forecasts. For historical weather data, you may need to integrate a separate aviation weather archive or check if the server supports time-range queries in its full documentation.
How often is the METAR and TAF data updated?
METAR reports are typically issued every hour (or more frequently during significant weather), and TAF forecasts are updated regularly. Exact refresh intervals depend on the underlying data source; see the repository for SLA details.
MCP Playground runs 10,000+ hosted MCP servers — GitHub, Linear, Notion, Stripe, Sentry and more — across Claude, GPT, Gemini, DeepSeek and 60+ AI models. Compare model answers side-by-side, save agent presets, share runs. Zero install.
Open Agent StudioJudges Panel
45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.
Addozhang Nexus
Query Sonatype Nexus Repository (OSS/Pro) for Maven, Python, and Docker artifacts
Cyanheads MCP Ts Template
TypeScript template for building MCP servers with declarative tooling, observability, and auth.
Chernistry Bernstein
Declarative agent orchestration for engineering teams