Mcp Metar
Pull METAR and TAF aviation weather into your agent session while building flight, drone, or logistics apps that need official aerodrome reports.
Overview
io.github.daedalus/mcp-metar is a MCP server for the Build phase that supplies METAR and TAF aviation weather data through agent-callable tools.
What is this MCP server?
- MCP access to METAR and TAF aviation weather observations and forecasts
- PyPI distribution mcp-metar at version 0.1.0 with stdio transport
- Lets agents fetch aerodrome weather context while coding scheduling or safety features
- Targets builders of aviation, drone ops, or airport-adjacent SaaS who need structured wx strings
- Open GitHub source (daedalus/mcp-metar) for auditing tool behavior
- Published version 0.1.0 as mcp-metar on PyPI
- Stdio MCP transport in server schema
- GitHub repository daedalus/mcp-metar
What problem does it solve?
You are coding aviation-aware features but constantly leave the IDE to copy METAR and TAF strings from external sites.
Who is it for?
Indie developers shipping aviation, drone, or travel tools who want lightweight wx integration during MCP-driven development.
Skip if: Operations teams that need certified preflight briefing workflows, regulatory sign-off, or non-aviation consumer weather only.
What do I get? / Deliverables
With the server connected, your agent can pull METAR/TAF context inside the same thread where it writes parsers, UI, or alert logic.
- METAR and TAF payloads retrieved inside agent-driven coding tasks
- Integration stubs for wx parsing, caching, and UI display
- Faster iteration on aviation-specific features without manual copy-paste
Recommended MCP Servers
Journey fit
Aviation weather data is consumed when you wire external APIs into a product under construction, which is squarely in Build. Integrations is the canonical shelf because the server wraps METAR/TAF feeds as MCP-callable tools for your application stack.
How it compares
Aviation wx data MCP connector, not a full flight-planning marketplace or radar imagery skill.
Common Questions / FAQ
Who is mcp-metar for?
Builders creating apps that interpret or display METAR and TAF data and who want their coding agent to fetch those reports via MCP.
When should I use mcp-metar?
Use it while integrating aerodrome weather into backends, mobile clients, or agent demos during the Build phase.
How do I add mcp-metar to my agent?
Install the mcp-metar package from PyPI, configure stdio MCP in your client, and invoke the weather tools from your agent session.