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306,437 tools. Last updated 2026-07-25 10:18

"Methods for Reading Water Sensor Data" matching MCP tools:

  • Retrieve the most recent glucose reading from your FreeStyle Libre sensor. Returns current mg/dL value, trend direction, and whether within target range for real-time monitoring.
    MIT
  • Retrieve class definitions and specific methods without reading entire files to reduce token usage by 80%+ in code navigation.
    MIT
  • Retrieve current live readings for a device by its serial number. Obtain decoded status, key/value data, and primary value like PSI, %VWC, water usage, or run state.
    MIT
  • Retrieve live greenhouse sensor data including temperature, humidity, and CO2 levels. Filter results by house identifier and sensor type for precise monitoring.
    MIT

Matching MCP Servers

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    Enables querying USGS water data including real-time and historical streamflow, gage height, and water temperature from USGS gauges across the United States.
    Last updated
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
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    Apache 2.0

Matching MCP Connectors

  • Get tank sensor data: level, capacity, remaining, and fluid type (fuel, fresh water, waste water, live well, oil, black water, gasoline). Specify unitId for the tank sensor.
    MIT
  • Retrieve real-time observed water levels from NOAA stations. Get the latest reading or recent history in feet or meters with quality flags.
    MIT
  • Retrieve health sensor data for a network device by sensor type. Specify device hostname and choose from types like temperature, voltage, or fanspeed to get paginated results.
    MIT
  • Retrieve IoT sensor data for manufacturing operations, with filtering options by sensor, status, or time range to monitor equipment conditions.
    MIT
  • Access global water intelligence data including groundwater levels, streamflow, drought status, water quality, flood risk, and more for informed water resource management.
    Apache 2.0
  • Aggregates and summarizes sensor evidence and online status for a fleet health assessment. Enables quick review of sensor data within defined boundaries.
    MIT