# weather_mcp

> Use this tool when you need to manage and track weather-related data or integrate weather APIs into your projects. It solves problems related to weather data analysis, forecasting, and visualization, providing inputs such as location and date, and outputs like temperature, humidity, and weather conditions. Ideal for use cases involving climate monitoring, outdoor event planning, or environmental research, with integration capabilities through git.

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

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/praveenislive/weather_mcp)
- **Repository:** <https://github.com/praveenislive/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": "praveenislive-weather-mcp"
    }
  }
}
```

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