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gb-climate-mcp
MCP server: 35 years of bias-corrected ERA5 weather for Gilgit-Baltistan plus a live flash-flood screening outlook
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What's in it
- Data offered docs-verified
- daily weather (ERA5 reanalysis) for five Gilgit-Baltistan stations · yearly totals/means and linear trend per decade · heavy, extreme and once-in-years rain-day thresholds per station · peak hourly rain (flood outlook driver) · live 1 to 16 day flash-flood screening outlook
- Coverage docs-verified
- Gilgit-Baltistan, Pakistan (five stations, 1,250 m to 4,693 m) · 1990 to 2024
- Resolution docs-verified
- Daily; precipitation is for a 25 km ERA5 grid cell, not the valley floor
- Update frequency docs-verified
- Historical record is a fixed 1990 to 2024 build; flood_risk_outlook is a live forecast fetched on each call
- Formats llm-inferred
- MCP stdio
- Access docs-verified
- Free and open. No API key. Only flood_risk_outlook uses the network (free Open-Meteo forecast API); all other tools work offline. Licence: code MIT; data CC BY 4.0 (contains modified Copernicus information).
Useful for
- Use cases llm-inferred
- Screen a Gilgit-Baltistan valley site for flash-flood signal over the next 16 days, as a screening aid only · Put a station's heavy and extreme rain thresholds in relative terms for hazard context · Check a 1990 to 2024 temperature or rainfall trend at the nearest station, using the break-corrected series · Compare one variable across the five stations by elevation for regional climate baseline notes
- Audience llm-inferred
- flood consultants · hydrologists · climate and resilience analysts · environmental consultants working in Gilgit-Baltistan
Limitations
- Constraints docs-verified
- Flood outlook is not validated against recorded flood events and is a screening signal only; official warnings come from PMD and GBDMA · Precipitation is a 25 km grid cell, not the valley floor (e.g. Gilgit about 1,430 mm/yr in ERA5 vs about 130 mm at the gauge), so rain is used only in relative terms · Break correction at Dec 2016 to Jan 2017 also absorbs real change, so trends across 2017 are conservative · Only five stations, all in Gilgit-Baltistan; no UK coverage · Flood outlook depends on the external Open-Meteo forecast API · Requires Python 3.10+ and uvx or a source install
- Licence
- MIT
- Authentication
- No API key required (repository README, auto-extracted; check upstream requirements)
- GitHub stars
- 0
- Last commit
- 15/10/2026
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- pypi:git
- Verification
- Not independently verified
Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.
Provenance & evidence
Daily discovery 2026-10-16: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.
Metadata observed 14/10/2026 · daily-2026-10-16 (github-search)