# weather-mcp-server

> Use this tool when you need to manage and deploy weather-related data and services, solving problems such as data inconsistency and limited accessibility. It provides a centralized server for weather data management, accepting input from various sources and outputting standardized data formats. Ideal for use cases requiring reliable and efficient weather data distribution, such as forecasting and climate monitoring applications.

Canonical page: https://skillsregistry.net/skills/feiming-afk-weather-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/feiming-afk-weather-mcp-server

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/feiming-afk/weather-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "feiming-afk-weather-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feiming-afk-weather-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feiming-afk-weather-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt