# weather-mcp

> Use this tool when you need to manage and track weather-related data or automate tasks related to weather forecasting, solving problems such as monitoring climate conditions or predicting weather patterns. It accepts inputs like location and date, and outputs weather forecasts or historical climate data. Ideal for use cases like planning outdoor events or optimizing resource allocation based on weather conditions.

Canonical page: https://skillsregistry.net/skills/kesugwa-weather-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kesugwa-weather-mcp

## 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/kesugwa/weather-mcp)

## 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": "kesugwa-weather-mcp"
    }
  }
}
```

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

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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