Python Weather MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENWEATHER_API_KEY | Yes | Your OpenWeatherMap API key for fetching weather data |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_weatherC | Get current weather for a location |
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 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'get_weather' has a clearly defined and distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern with 'get_weather'. While there is only one tool, it adheres perfectly to a predictable naming convention without any deviation or mixing of styles.
A single tool for a weather server feels too thin and under-scoped for the apparent domain. Weather services typically offer more functionality such as forecasts, historical data, or location-based searches, making this count insufficient for comprehensive coverage.
The tool surface is severely incomplete for a weather domain. While 'get_weather' provides current conditions, there are significant gaps such as missing forecast retrieval, historical weather data, or location search capabilities, which will likely cause agent failures in broader weather-related tasks.