# Skywise

> Skywise — atp524-skywise-mcp-agent. Use this tool when you need to access accurate and up-to-date weather information, forecasts, and alerts to answer natural-language questions or make predictions about current or future weather conditions. Skywise provides inputs such as location and date, and outputs detailed weather data, including current conditions, forecasts, and severe weather alerts. It is ideal for use cases where users require reliable weather insights to inform travel plans, outdoor activities, or other decision-making processes.

Canonical page: https://skillsregistry.net/skills/atp524-skywise-mcp-agent  
JSON: https://api.skillsregistry.net/v1/skills/atp524-skywise-mcp-agent

## Description

Skywise is a weather-prediction MCP server that provides current conditions, forecasts, historical data, severe weather alerts, air quality, and travel recommendations. It powers an Agent Bricks agent to answer natural-language weather questions and make simple predictions like 'Will it rain in Chicago tomorrow?'

## Trust

- **Trust score (0–1):** 0.67
- **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/j5fdj35v3n)
- **Repository:** <https://github.com/ATP524/skywise-mcp-agent>

## 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": "atp524-skywise-mcp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atp524-skywise-mcp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atp524-skywise-mcp-agent/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