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NOAA RTOFS MCP Server

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by oceanmodeling · Python

NOAA RTOFS global ocean forecast — SST, salinity, currents, depth profiles via CoastWatch ERDDAP

This Model Context Protocol (MCP) server provides NOAA RTOFS global ocean forecast data, including sea surface temperature (SST), salinity, currents, and depth profiles, via CoastWatch ERDDAP. It is intended for ocean and coastal data workflows using the Model Context Protocol.

🛠️ Key Features

  • NOAA RTOFS global ocean forecast datasets
  • SST, salinity, currents, and depth profiles
  • CoastWatch ERDDAP as the data source
  • Tagged for MCP and ocean-related context

🚀 Use Cases

  • Oceanography and coastal data ingestion
  • Forecast-focused analyses using global model outputs
  • Integrating SST, currents, and salinity into developer workflows

⚡ Developer Benefits

  • Fits MCP-based pipelines (model-context-protocol)
  • Developer-friendly integration with ERDDAP-backed ocean variables
  • Enables use of NOAA ocean forecast context in applications

⚠️ Limitations

  • Based on CoastWatch ERDDAP availability and coverage
  • Described scope is global forecast variables listed above

Topics

coastalerddapmcpmcp-servernoaaoceanoceanographytideshurricanesstmodel-context-protocol