MCP Weather Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_HOST | No | Host for the HTTP server (optional, default 0.0.0.0) | 0.0.0.0 |
| MCP_PORT | No | Port for the HTTP server (optional, default 8000) | 8000 |
| ACCUWEATHER_API_KEY | Yes | Your AccuWeather API key. Get one from https://developer.accuweather.com/ |
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_hourly_weatherA | Get hourly weather forecast for a location. Args: location: The city or location name (e.g., "Chicago", "New York") unit: Temperature unit - "C" for Celsius (default) or "F" for Fahrenheit |
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 a single tool, there is no possibility of confusion or overlap. The tool's purpose is clear and distinct.
The tool name 'get_hourly_weather' follows a clear verb_noun pattern, which is consistent even though it is the only tool. Naming conventions are not violated.
A single tool is too few for a server that claims to be a weather server. The apparent scope is broader than just hourly forecasts, so the tool count feels inadequate.
The tool surface only covers hourly forecasts, missing standard weather operations like current conditions, daily forecasts, or alerts. This leaves significant gaps for agents expecting comprehensive weather data.