roc-cwa-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CWA_API_KEY | Yes | Your CWA API key for accessing Taiwan Central Weather Administration 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_3_days_weatherA | Get 3-day weather forecast data for the specified county/city Args: location_name: County/city name, must be a valid Taiwan county/city name Valid county/city names: 宜蘭縣, 花蓮縣, 臺東縣, 澎湖縣, 金門縣, 連江縣, 臺北市, 新北市, 桃園市, 臺中市, 臺南市, 高雄市, 基隆市, 新竹縣, 新竹市, 苗栗縣, 彰化縣, 南投縣, 雲林縣, 嘉義縣, 嘉義市, 屏東縣 Returns: list: Cleaned weather data containing various weather elements and their time series |
| get_1_week_weatherA | Get 1-week weather forecast data for the specified county/city Args: location_name: County/city name, must be a valid Taiwan county/city name Valid county/city names: 宜蘭縣, 花蓮縣, 臺東縣, 澎湖縣, 金門縣, 連江縣, 臺北市, 新北市, 桃園市, 臺中市, 臺南市, 高雄市, 基隆市, 新竹縣, 新竹市, 苗栗縣, 彰化縣, 南投縣, 雲林縣, 嘉義縣, 嘉義市, 屏東縣 Returns: list: Cleaned weather data containing various weather elements and their time series |
| get_historical_rainfallB | Get rainfall data for the past three days Returns: dict: Cleaned rainfall data containing rainfall labels and information for various stations |
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 3 tools
Each tool serves a distinct purpose: one for 1-week forecast, one for 3-day forecast, and one for historical rainfall. No overlap or ambiguity.
All tools follow a consistent verb_get + time_period + resource pattern in snake_case, making it predictable.
Three tools cover the essential weather data needs without being excessive or insufficient.
Covers forecasts and historical rainfall well, but missing current conditions or severe weather alerts. Minor gap.