# weather-history-mcp

> weather-history-mcp — carlosecheverrycol-weather-history-mcp. Use this tool when you need to retrieve historical hourly weather data, such as temperature, humidity, and wind chill, to answer questions about past weather conditions. It solves problems related to understanding climate trends, verifying weather events, and providing context for historical weather-related queries. The tool takes location and date inputs and outputs detailed weather data via the Open-Meteo API.

Canonical page: https://skillsregistry.net/skills/carlosecheverrycol-weather-history-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carlosecheverrycol-weather-history-mcp

## Description

Exposes historical hourly weather data (temperature, humidity, wind chill, cloud cover) via the free Open-Meteo API, requiring no API key, and lets Claude answer questions about past weather conditions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nbw23cd7w0)
- **Repository:** <https://github.com/carlosecheverryCOL/weather-history-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": "carlosecheverrycol-weather-history-mcp"
    }
  }
}
```

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