kuongeo
MCP serverEverything elseGNSS/RTK and weather archive for Japan: nearest RTK bases, municipality facts, JMA warnings. No key.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use kuongeo
From the project's README
As published by Kotaro-Studio/kuongeo-py in README.md.
A tiny, dependency-free Python client for the open KUON GEO API. No key, no account. Every value comes from the API as published; nothing is computed here.
pip install kuongeo
kuongeo here 42.924 143.196 # warnings, observation, hazards, heat, RTK and prices for a point in Japan
kuongeo bases --jp --lim 20 # community RTK base stations in Japan
kuongeo history # daily station/poll counts since 2026-07-03
kuongeo archive # what KUON GEO stores, counted hourly
import kuongeo
d = kuongeo.here(42.924, 143.196, lang="en")
print(d["municipality"]["code"], d["warnings"]["active"])
Endpoints and fields: https://kuongeo.com/developers · MCP server: https://kuongeo.com/mcp · ledger: https://kuongeo.com/archive
Warnings are relayed from the Japan Meteorological Agency; the official source is jma.go.jp. Please cite KUON GEO and the retrieval date. Data license CC BY 4.0; this package MIT.
Author: Kotaro Asahina (ORCID 0009-0002-2530-4142), Kuon R&D (空音開発).
Citable dataset (Zenodo, CC BY 4.0): KUON GEO community RTK base station availability log — https://doi.org/10.5281/zenodo.22064426
Advanced
- Delivery
- kuongeo MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-kotaro-studio-kuongeo- Source
- github.com/Kotaro-Studio/kuongeo-py
- Hosted endpoint
https://kuongeo.com/mcp