# WeatherXM Pro Weather Data Server

> Use this tool when you need to access real-time and historical weather data, forecasts, and alerts from a global network of weather stations. It solves problems related to weather analysis, forecasting, and monitoring by providing detailed insights into temperature, wind, precipitation, and other weather conditions. It takes location-based inputs and outputs comprehensive weather data, making it ideal for applications requiring accurate and up-to-date weather information.

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

## Description

Provide real-time and historical weather data, forecasts, alerts, and station information from the WeatherXM decentralized weather network worldwide. Enable detailed weather insights including temperature, wind, precipitation, UV index, and data quality assessments. Discover nearby weather stations and explore network coverage for comprehensive weather analysis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/oharkins/weatherxm-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": "oharkins-weatherxm-mcp-server"
    }
  }
}
```

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