# mcp-weather-forecast

> mcp-weather-forecast — stephaniespanjian-mcp-weather-forecast. Use this tool when you need to compare and analyze weather forecast models, solving problems of inaccurate predictions and inconsistent data. It takes in model inputs and outputs comparative forecasts, helping you make informed decisions. Ideal for meteorologists, researchers, and developers working with weather data, particularly when evaluating model performance and reliability.

Canonical page: https://skillsregistry.net/skills/stephaniespanjian-mcp-weather-forecast  
JSON: https://api.skillsregistry.net/v1/skills/stephaniespanjian-mcp-weather-forecast

## Description

MCP Weather Demo: Model Comparison

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/StephanieSpanjian/mcp-weather-forecast)

## 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": "stephaniespanjian-mcp-weather-forecast"
    }
  }
}
```

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