Israel Weather MCP
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 |
|---|---|
| open_weather_forecast_israelC | שלב 1: פותח את אתר מזג האוויר בישראל ומטפל בהודעות ראשוניות. |
| enter_weather_forecast_city_israelC | שלב 2: מזין את שם העיר בשדה החיפוש. |
| select_weather_forecast_city_israelB | שלב 3: בוחר את העיר הראשונה מהרשימה ועובר לדף התחזית המפורט. |
| get_weather_page_contentB | שלב 4 (RAG): שולף את הטקסט מהדף ומנקה אותו עבור ה-LLM. מחזיר את המידע הגולמי כדי שהמודל יוכל לענות למשתמש. |
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 4 tools
Each tool has a distinct step in the weather scraping workflow (open site, enter city, select city, get page content). No overlap in purpose or function.
Tools consistently use verb_weather_forecast_city_israel pattern for three, but get_weather_page_content deviates slightly. Minor inconsistency but still predictable.
4 tools is appropriate for the narrow scope of fetching a weather forecast from a specific website. Not too few or too many.
The tools cover the scraping workflow but lack other common weather operations (e.g., multiple cities, different forecast types, structured data output). Notable gaps for a general weather MCP.