# mcp-meteostat

> mcp-meteostat — pipeworx-io-mcp-meteostat. Use this tool when you need to access historical weather data from a large network of stations. It provides unauthenticated access to data from over 11,000 stations, solving problems related to climate analysis, research, and forecasting. The tool outputs historical weather data, which can be used in various applications, and is ideal for use cases requiring large-scale weather data retrieval.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-meteostat  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-meteostat

## Description

Meteostat MCP — historical weather from 11k+ stations (no auth)

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-meteostat)

## 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": "pipeworx-io-mcp-meteostat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-meteostat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-meteostat/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