IPMA MCP Server
Related Servers
Alternatives to IPMA MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceProvides access to Portuguese meteorological data from IPMA (Instituto Português do Mar e da Atmosfera), including weather forecasts, warnings, UV index, seismic data, and weather station observations for cities in Portugal.6MIT
- AlicenseAqualityDmaintenanceProvides comprehensive access to Portuguese weather data from IPMA, including forecasts, warnings, sea state, fire risk, UV index, seismic activity, and weather station observations for all Portuguese cities and islands.10MIT
- AlicenseNot gradedqualityCmaintenanceProvides weather, UV, sea state, and earthquake data from IPMA Portugal through an MCP gateway, enabling natural language queries for Portuguese meteorological and seismic information.2 npmMIT
- AlicenseAqualityCmaintenanceProvides AI assistants with live tools for Portuguese public data including fuel prices, weather, postal codes, statistics, and open data.8MIT
- AlicenseAqualityAmaintenanceEnables querying official Spanish weather data from AEMET, including municipal forecasts, station observations, and weather alerts, through natural language.517 npmMIT
- AlicenseAqualityCmaintenanceProvides live Greek weather data from EMY, including forecasts, alerts, marine bulletins, warnings, and climate records. Supports location-based queries by name, ID, or coordinates without requiring an API key.6MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: get_locations lists available cities, get_seismic_data provides seismic data, get_uv_forecast gives UV forecasts, get_weather_forecast offers weather forecasts, get_weather_stations shows station observations, and get_weather_warnings lists active warnings. There is no overlap or ambiguity in their functions.
All tools follow a consistent verb_noun pattern with 'get_' as the prefix, followed by a descriptive noun (e.g., get_locations, get_seismic_data). This uniformity makes the tool set predictable and easy to understand.
With 6 tools, the server is well-scoped for weather and seismic forecasting in Portugal. Each tool serves a specific, necessary function without redundancy, making the count appropriate for the domain.
The tool set covers key aspects like forecasts, warnings, seismic data, and station observations, but lacks update or delete operations, which are not essential for this read-only data domain. Minor gaps, such as historical data queries, exist but do not hinder core functionality.