GribStream

GribStream MCP is a hosted Model Context Protocol server for weather forecast data. It helps AI agents discover GribStream datasets, resolve exact forecast variables and levels, validate request bodies, and build runnable GribStream Weather API requests for GFS, ECMWF IFS, NBM, HRRR, and other models.

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GribStream MCP

GribStream MCP is a hosted Model Context Protocol server for weather forecast data.

It helps AI agents discover GribStream datasets, resolve exact forecast variables and levels, validate request bodies, and build runnable GribStream Weather API requests for GFS, ECMWF IFS, NBM, HRRR, and other models.

Hosted MCP endpoint:

https://gribstream.com/mcp

Use Cases

Use GribStream MCP when you want an AI tool to:

  • List public GribStream weather datasets.
  • Choose a forecast model for a region, horizon, or weather task.
  • Find exact variable selectors, levels, and aliases.
  • Build a /timeseries request for values by valid time.
  • Build a /runs request to compare forecasts across model runs.
  • Validate a GribStream API request before running it.
  • Generate a copy-pasteable curl command for the GribStream Weather API.

The hosted MCP server is read-only. It builds and validates requests, but it does not execute live /timeseries or /runs data queries. Generated API requests may require a GribStream API token when you run them outside MCP.

Connect

Use the hosted endpoint in any MCP client that supports remote Streamable HTTP:

https://gribstream.com/mcp

Generic configuration shape:

{
  "mcpServers": {
    "gribstream": {
      "url": "https://gribstream.com/mcp"
    }
  }
}

Some clients require an explicit transport field:

{
  "mcpServers": {
    "gribstream": {
      "type": "streamable-http",
      "url": "https://gribstream.com/mcp"
    }
  }
}

Capabilities

Hosted tools:

  • gribstream_list_datasets
  • gribstream_get_dataset
  • gribstream_list_parameters
  • gribstream_get_parameter
  • gribstream_list_shared_parameters
  • gribstream_resolve_shared_parameter
  • gribstream_get_expression_reference
  • gribstream_build_timeseries_request
  • gribstream_build_runs_request
  • gribstream_validate_request

Hosted prompts:

  • build_gribstream_api_request
  • build_gfs_forecast_request
  • build_historical_forecast_request
  • create_grid_request
  • compare_forecast_runs
  • choose_weather_dataset
  • find_weather_variable

Hosted resources:

  • gribstream://openapi
  • gribstream://skill/gribstream-query

Links

  • Endpoint: https://gribstream.com/mcp
  • Homepage: https://gribstream.com/mcp
  • Icon: https://gribstream.com/gribstream_small.png
  • OpenAPI: https://gribstream.com/docs/openapi.yaml
  • AI setup docs: https://gribstream.com/ai
  • API dashboard: https://gribstream.com/app/dashboard

Try It

After connecting GribStream MCP to an AI tool, ask:

Use GribStream MCP to build a GFS 2m temperature timeseries request for Houston for tomorrow at 12:00 UTC. Validate the request and return a runnable curl command.

Or:

Use GribStream MCP to find the best dataset for short-range precipitation forecasts in the continental United States. Explain the tradeoffs and build a validated example request.

More examples:

For the GribStream API itself, see the OpenAPI specification.

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