# weather-mcp-server

> weather-mcp-server — olehdatsyk-weather-mcp-server. Use this tool when you need to integrate weather-related functionality into AI assistants, providing them with accurate and up-to-date weather information and resources. It solves problems related to weather data access and utilization, offering a range of weather tools and prompts through the Model Context Protocol (MCP). This server accepts MCP requests as input and returns relevant weather data and resources as output, ideal for use cases requiring dynamic weather information.

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

## Description

A production-ready MCP server that provides weather tools, resources, and prompts for AI assistants using the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OlehDatsyk/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": "olehdatsyk-weather-mcp-server"
    }
  }
}
```

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