weather-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | No | Your Groq API key for AI-generated summaries. The server works without it, but returns structured JSON instead of an AI summary. |
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_weatherA | Get current conditions and a weather forecast for a place. Args: location: A city, region, or country name, such as "London" or "Tokyo". forecast_days: Number of forecast days to return, from 1 through 7. |
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
Only one tool exists, so there is no possibility of confusing it with another. The tool's purpose is clearly defined and distinct.
The single tool uses a clear, conventional verb_noun pattern (get_weather), which is consistent and intuitive. There are no naming inconsistencies to evaluate.
A single tool for a weather server is minimal but borderline acceptable because it combines current conditions and forecast. However, it feels thin compared to the typical scope of a weather-focused MCP server.
The tool covers the core weather needs—current conditions and forecast—with configurable forecast days. Missing features like alerts or historical data are minor gaps that agents can work around for basic weather queries.