Meteoswiss Mcp
Wire MeteoSwiss Open Data—forecasts, climate normals, and warnings—into agent-driven backend or dashboard prototypes without hand-rolling API clients.
Overview
MeteoSwiss MCP is a MCP server for the Build phase that exposes MeteoSwiss Open Data for weather, climate normals, and warnings to coding agents.
What is this MCP server?
- MeteoSwiss Open Data: current weather, climate normals, and official warnings
- PyPI meteoswiss-mcp v0.3.3 with stdio transport and uvx runtime hint
- Registry scope core; category Environment & Climate in publisher metadata
- Suited for alpine, outdoor, logistics, or locale-specific SaaS feature spikes
- Server version 0.3.3; PyPI identifier meteoswiss-mcp
- Stdio transport; registry publisher category Environment & Climate
- Publisher scope marked core in MCP registry metadata
What problem does it solve?
Swiss weather Open Data is powerful but fiddly to discover and call while you are mid-build, slowing integration spikes in the editor.
Who is it for?
Solo builders integrating Swiss-specific weather, climate baselines, or warning feeds into APIs, agents, or mobile-backed SaaS during implementation.
Skip if: Products that only need generic global weather APIs or production-grade SLAs without your own caching and monitoring layer.
What do I get? / Deliverables
Your agent can fetch MeteoSwiss forecasts, normals, and warnings through MCP tools so feature code and configs align with official datasets faster.
- Working MCP tools for Swiss weather, normals, and warnings in the agent
- Integration stubs or configs generated with agent assistance
- Documented data-source attribution to MeteoSwiss Open Data
Recommended MCP Servers
Journey fit
Weather and alert feeds are integration work you add while building features that depend on authoritative Swiss meteorological data. Open Data consumption maps to backend and third-party service hooks during implementation, not launch SEO or ops incident response alone.
How it compares
National Open Data weather MCP, not a hosted observability or error-tracking platform.
Common Questions / FAQ
Who is meteoswiss-mcp for?
Developers and indie founders using MCP agents who build Swiss-locale products that need MeteoSwiss forecasts, climate normals, or official warnings.
When should I use meteoswiss-mcp?
Use it in the Build integrations subphase while connecting backends, agents, or dashboards to authoritative Swiss meteorological Open Data.
How do I add meteoswiss-mcp to my agent?
Install meteoswiss-mcp from PyPI, configure stdio with uvx in your MCP client, and restart the agent so weather tools are available.