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Query IoT weather station readings, history, statistics, and alerts via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-estacion-meteorologica-iot" yet — see the docs or source repo.
Read the weather station’s current temperature, humidity, and pressure, and summarize briefly in English.
Returns the current temperature, humidity, and pressure readings.
Query the last 24 hours of weather data and summarize temperature and humidity trends.
Outputs historical data and a trend summary.
Check whether the weather station has any alerts and explain which metrics may be involved.
Returns alert status and related metric details.
Ops teams can inspect sensor data directly from an MCP-compatible client to spot abnormal readings or alerts. It is useful for routine checks and status verification.
Data analysts can query historical temperature, humidity, and pressure data for trends, statistics, and comparisons. It helps quickly understand environmental changes.
When using an MCP client like Claude Desktop, users can ask in natural language for current readings, history, and alerts. No manual table lookup is needed.
This is an MCP tool that exposes IoT weather station data via Supabase. It supports natural-language access to temperature, humidity, pressure, history, statistics, and alerts.
You need an MCP-compatible client, such as Claude Desktop. For exact setup details, see the source repository.
It wraps weather-station data as an MCP capability, letting users ask in natural language for current values, history, and alerts instead of writing queries manually.
Lets MCP clients fetch current weather and forecasts for any location.
Query current weather and forecasts in natural language for app integrations.
Get forecasts, alerts, and current weather via MCP for apps and agents.
Access historical weather data from 11,000+ stations for analysis and research.
Get weather by coordinates or place name through an MCP server.
Access historical weather data from global stations for analysis and apps.