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.
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
/timeseriesrequest for values by valid time. - Build a
/runsrequest to compare forecasts across model runs. - Validate a GribStream API request before running it.
- Generate a copy-pasteable
curlcommand 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_datasetsgribstream_get_datasetgribstream_list_parametersgribstream_get_parametergribstream_list_shared_parametersgribstream_resolve_shared_parametergribstream_get_expression_referencegribstream_build_timeseries_requestgribstream_build_runs_requestgribstream_validate_request
Hosted prompts:
build_gribstream_api_requestbuild_gfs_forecast_requestbuild_historical_forecast_requestcreate_grid_requestcompare_forecast_runschoose_weather_datasetfind_weather_variable
Hosted resources:
gribstream://openapigribstream://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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