Weather 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get-alertsC | Get weather alerts for a state |
| get-forecastC | Get weather forecast for a location |
| get-feishu-docC | 获取飞书文档内容（纯文本） |
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
The tools have no coherent domain overlap, making them highly ambiguous as a set. 'get-alerts' and 'get-forecast' relate to weather, while 'get-feishu-doc' is unrelated (document retrieval), causing clear confusion about the server's purpose and tool selection.
Naming is inconsistent with mixed conventions: 'get-alerts' and 'get-forecast' use kebab-case with a 'get-' prefix, while 'get-feishu-doc' uses kebab-case but includes a non-English term, breaking pattern. The verbs are consistent ('get'), but the overall style lacks uniformity.
With only 3 tools, the count is too low for a coherent weather server, as it lacks essential operations like historical data or radar. The inclusion of an unrelated document tool further dilutes the scope, making the set feel incomplete and mismatched.
The tool set is severely incomplete for a weather domain, missing basic CRUD operations like update or delete, and lacking coverage for key weather aspects (e.g., current conditions, historical data). The unrelated document tool creates a gap in domain coherence, making the surface unusable for weather-related tasks.