mcp-server-jma
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- AlicenseNot gradedqualityBmaintenanceEnables you to retrieve JMA weather forecasts, warnings/advisories, and earthquake reports by place name, with no API key required.13 npmMIT
- AlicenseAqualityAmaintenanceProvides access to Japan Meteorological Agency (JMA) weather data including real-time observations, historical weather data, and forecasts from 1286 AMeDAS stations across Japan.111MIT
- 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 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
- AlicenseNot gradedqualityBmaintenanceEnables keyless, read-only access to a wide range of public APIs (including weather, elevation, Japanese addresses, environment, science, and civic data) through MCP clients, with usage limits and abuse protection built in.MIT
- AlicenseNot gradedqualityCmaintenanceEnables 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.3 npmMIT
TDQS
Scored across 7 tools
Each tool targets a distinct JMA data product: area lookup, forecast, weather warnings, earthquake list, earthquake detail, tsunami, and volcano warnings. The list/get pair for earthquakes follows a clear convention, and the three hazard tools (warnings, tsunami, volcano) are unambiguous because each names a different hazard type. No two tools appear interchangeable.
Every tool uses the same jma_ prefix followed by a verb_noun pattern (find_area, get_forecast, list_earthquakes, get_earthquake, get_tsunami, get_volcano_warnings). The list vs get distinction is applied consistently and predictably.
Seven tools is well within the sweet spot for a domain-specific data server. Each tool corresponds to a genuine, distinct JMA dataset with no filler or trivially wrapped endpoints.
The surface covers area resolution, forecasts, weather warnings, earthquakes (both list and detail), tsunami, and volcano warnings — strong lifecycle coverage for hazard monitoring. Minor gaps remain, such as current/observed conditions (AMeDAS) and typhoon tracks, but agents can work around these for most JMA use cases.