# WeatherXM PRO

> Use this tool when you need to access accurate and hyperlocal weather data for location-specific analysis and planning. The WeatherXM PRO MCP Server solves problems related to weather data retrieval, providing historical data, forecasts, and performance metrics through a simple interface that requires a WeatherXM PRO API key. It is ideal for developers, researchers, and businesses that need reliable weather information, with outputs including station data, observations, and forecast evaluations.

Canonical page: https://skillsregistry.net/skills/weatherxm-pro  
JSON: https://api.skillsregistry.net/v1/skills/weatherxm-pro

## Description

The WeatherXM PRO MCP Server provides access to weather data through the Model Context Protocol, enabling AI assistants to retrieve information from weather stations, observations, and forecasts. Built by WeatherXM, this TypeScript implementation exposes their PRO APIs as MCP tools, allowing clients to search for stations by location, access historical weather data, retrieve hyperlocal forecasts, and evaluate forecast performance metrics. The server requires a WeatherXM PRO API key and can be deployed as a Docker container or run locally, making it valuable for developers, researchers, and businesses that need accurate weather data for location-specific analysis and planning.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/weatherxm-pro)
- **Repository:** <https://github.com/weatherxm/weatherxm-pro-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": "weatherxm-pro"
    }
  }
}
```

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