# MCP Weather Sample

> Use this tool when you need to integrate weather services with AI models for natural language queries, enabling access to weather alerts and forecasts. It solves problems related to retrieving weather information through conversational interfaces, supporting use cases such as voice assistants or chatbots. The tool accepts natural language inputs and returns relevant weather data as output.

Canonical page: https://skillsregistry.net/skills/sun873087-mcp-sample  
JSON: https://api.skillsregistry.net/v1/skills/sun873087-mcp-sample

## Description

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bs4oh9yps2)
- **Repository:** <https://github.com/sun873087/mcp-sample>

## 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": "sun873087-mcp-sample"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sun873087-mcp-sample` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sun873087-mcp-sample/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