Open-Meteo 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
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 |
|---|---|
| search_cityB | Search for a city and return its location details. |
| get_weatherC | Get the current weather for a city. |
| get_weather_forecastB | Get a multi-day weather forecast for a city. |
| compare_weatherB | Compare the current temperatures of two cities. |
| find_warmest_dayB | Find the warmest forecast day for a city. |
| get_packing_contextC | Return forecast data that can be used for packing advice. |
| generate_packing_adviceC | Generate packing advice using server-initiated LLM sampling. The MCP server retrieves the forecast and then requests an LLM completion from the connected MCP client. |
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 7 tools
Each tool serves a distinct purpose: city search, current weather, forecast, comparison, warmest day lookup, packing context, and packing advice. No overlap or ambiguity between tool functions.
All tool names follow a consistent verb_noun pattern (search_city, get_weather, get_weather_forecast, compare_weather, find_warmest_day, get_packing_context, generate_packing_advice). The verbs and nouns are clear and uniformly formatted.
With 7 tools, the set is well-scoped for a weather domain. It provides enough functionality to cover common queries without being overwhelming or redundant.
The tool set covers the full range of expected weather operations: searching locations, retrieving current conditions, forecasts, comparisons, warmest day identification, and even packing-specific context and advice. No obvious gaps for a typical weather assistant.