Meltema Weather
Server Details
Multi-model weather forecasts: point series, model scoreboard, and gridded fields. No auth.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
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Full call logging
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Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.1/5 across 5 of 5 tools scored.
Each tool has a distinct purpose: compare_models for multi-model comparison, describe_grid for grid metadata, list_runs for run init times, list_sources for source enumeration, and point_forecast for single-point forecasts. There is no overlap or ambiguity.
Most tools follow a verb_noun pattern (compare_models, describe_grid, list_runs, list_sources), but point_forecast deviates by using a noun phrase instead of an imperative verb. The naming is still clear and readable.
With 5 tools, the server covers essential weather data operations without being overly sparse or cluttered. The count is well-scoped for an MCP server focused on point forecasts and model comparison.
The tools cover source discovery, run selection, grid metadata, single-point forecasts, and multi-model comparison. A minor gap is the lack of a tool to directly download raw grid data, though the recipe from describe_grid allows agents to do so externally.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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