# MCP Weather Data Fetcher

> Use this tool when you need to fetch live weather updates for any city, solving problems such as informing users of current weather conditions or predicting future weather patterns. It takes city names or geographic coordinates as input and outputs weather data in MCP format, making it easy to integrate into AI-powered applications. Ideal for use cases requiring real-time weather information, such as chatbots, virtual assistants, or location-based services.

Canonical page: https://skillsregistry.net/skills/ansh642-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ansh642-mcp-server

## Description

Enables AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in MCP format.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zcgx21aji6)
- **Repository:** <https://github.com/Ansh642/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": "ansh642-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ansh642-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ansh642-mcp-server/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