# open-meteo-mcp-lite

> Use this tool when you need to retrieve current weather conditions, forecasts, or search for locations without requiring an API key. It provides a lightweight MCP server for the Open-Meteo weather API, solving problems related to weather data access and integration. The tool accepts location-based inputs and returns relevant weather data outputs, making it ideal for applications that require seamless weather information retrieval.

Canonical page: https://skillsregistry.net/skills/ominiverdi-open-meteo-mcp-lite  
JSON: https://api.skillsregistry.net/v1/skills/ominiverdi-open-meteo-mcp-lite

## Description

A lightweight MCP server for Open-Meteo weather API, providing current weather, forecasts, location search, and more without requiring an API key.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ofiyli7k7m)
- **Repository:** <https://github.com/ominiverdi/open-meteo-mcp-lite>

## 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": "ominiverdi-open-meteo-mcp-lite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ominiverdi-open-meteo-mcp-lite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ominiverdi-open-meteo-mcp-lite/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