MCP Weather SSE 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_alertsB | Get weather alerts for a US state. |
| get_forecastB | Get weather forecast for a location using NWS (US only). |
| get_current_weatherA | Get current weather for a city using OpenWeatherMap. |
| get_weather_forecastB | Get weather forecast for a city using OpenWeatherMap. |
| get_weather_by_coordinatesB | Get current weather by coordinates using OpenWeatherMap. |
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
Multiple tools have overlapping purposes that could cause confusion. get_current_weather and get_weather_by_coordinates both retrieve current weather data but use different input parameters (city vs coordinates). get_forecast and get_weather_forecast both provide forecast data but use different data sources (NWS vs OpenWeatherMap) and input formats. An agent would struggle to choose between these overlapping tools.
The naming follows a consistent verb_noun pattern throughout (get_alerts, get_current_weather, get_forecast, get_weather_by_coordinates, get_weather_forecast). All tools start with 'get_' followed by a descriptive noun phrase. The only minor deviation is that some names include 'weather' while others don't, but the pattern remains readable and predictable.
With 5 tools, the count is reasonable for a weather server. However, given the overlap between tools, the effective surface area is smaller than the tool count suggests. The number is appropriate for the domain, but the redundancy means some tools don't fully earn their place in the set.
The server covers current weather and forecasts through multiple methods, plus alerts for US states. However, there are notable gaps: no historical weather data, no air quality information, and inconsistent geographic coverage (some tools are US-only while others are global). The surface provides multiple ways to get similar data but lacks breadth across weather-related dimensions.