# Weather-Prediction MCP Server

> Weather-Prediction MCP Server — modern-data-engineering-lab-weather-mcp-server. Use this tool when you need to provide accurate and up-to-date weather information to users, solving problems such as answering natural-language weather queries and generating travel recommendations. The Weather-Prediction MCP Server takes location-based inputs and returns current conditions, forecasts, and prediction tools as outputs. It is ideal for use in conversational interfaces, virtual assistants, and chatbots that require reliable weather data to inform user decisions.

Canonical page: https://skillsregistry.net/skills/modern-data-engineering-lab-weather-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/modern-data-engineering-lab-weather-mcp-server

## Description

A weather MCP server that provides current conditions, forecasts, and prediction tools (umbrella, travel recommendations) so agents can answer natural-language weather questions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vyodlfq3wz)
- **Repository:** <https://github.com/modern-data-engineering-lab/weather-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": "modern-data-engineering-lab-weather-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/modern-data-engineering-lab-weather-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/modern-data-engineering-lab-weather-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