JMA Data MCP
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- AlicenseAqualityBmaintenanceEnables access to Japan Meteorological Agency data through MCP, covering weather forecasts, warnings, earthquakes with seismic intensity, tsunami bulletins, and volcano alerts, with place-name lookup in kanji, kana, or romaji and no API key.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables you to retrieve JMA weather forecasts, warnings/advisories, and earthquake reports by place name, with no API key required.134 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables retrieval of weather information for major cities across Japan using the Japan Meteorological Agency API. Supports weather overviews, precipitation probability, and wind speed data with both local and remote OAuth 2.0 authenticated deployment options.9 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides weather information for 110 cities across Japan with natural language support for location names in kanji, hiragana, and katakana. Retrieves current weather conditions and forecasts using OpenMeteo API through MCP-compliant tools.1MIT
- FlicenseNot gradedqualityDmaintenanceMCP server providing weather forecast, warnings, AMeDAS observations, and area search from Japan Meteorological Agency JSON APIs. It normalizes responses and supports Japanese place names.-
- AlicenseNot gradedqualityDmaintenanceProvides comprehensive access to real-time weather data, forecasts, historical data, and weather alerts from the WeatherXM decentralized weather network worldwide.ISC
TDQS
Scored across 11 tools
Station lookup tools are split by clear query mode (code, name, coordinates, type, list-all), and weather tools are separated by temporal scope and access pattern (current, location-based, forecast, historical, time series). No two tools appear to do the same thing.
All names use snake_case with a predictable verb_noun structure (get_, search_, list_), including compound names like search_nearby_stations and get_weather_by_location. The convention is consistent throughout.
11 tools is well-scoped for a station-and-weather data server. Each tool covers a distinct retrieval mode without excessive granularity.
The surface covers station discovery thoroughly and weather retrieval across current, forecast, historical, and time-series modes. Minor gaps exist, such as forecast retrieval by coordinates rather than only prefecture, but core workflows are supported.