Weather MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_current_weatherC | Get current weather information for a specified location |
| get_weather_forecastC | Get weather forecast for a specified location |
| get_weather_alertsC | Get weather alert information |
| search_locationsC | Search supported locations |
| get_weather_statsC | Get weather statistics information |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_current_weather for current conditions, get_weather_alerts for alerts, get_weather_forecast for forecasts, get_weather_stats for statistics, and search_locations for location lookup. There is no overlap in functionality that would cause confusion.
All tools follow a consistent verb_noun pattern with 'get_' or 'search_' prefixes, using snake_case throughout. The naming is predictable and easy to understand, with no deviations in style.
With 5 tools, this server is well-scoped for a weather service, covering core needs like current weather, alerts, forecasts, statistics, and location search. Each tool earns its place without being overwhelming or insufficient.
The toolset covers essential weather operations comprehensively, including current conditions, forecasts, alerts, and statistics, with a location search to support them. A minor gap might be historical weather data, but the core workflows are well-covered.