# MCP Weather Aggregator

> Use this tool when you need to aggregate and deduce accurate weather information from multiple sources. The MCP Weather Aggregator solves problems of inconsistent or unreliable weather data by combining inputs from six sources and using AI-powered intelligent deduction to produce a single, reliable output. It provides a REST API and MCP Server interface for seamless integration with AI assistants, making it ideal for use cases requiring real-time and accurate weather information.

Canonical page: https://skillsregistry.net/skills/soptik1290-mcp-weather  
JSON: https://api.skillsregistry.net/v1/skills/soptik1290-mcp-weather

## Description

AI-powered weather aggregation from 6 sources with intelligent deduction, working as both a REST API and MCP Server for AI assistants like Claude and Cursor.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **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/pk0o35u8ew)
- **Repository:** <https://github.com/Soptik1290/mcp-weather>

## 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": "soptik1290-mcp-weather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/soptik1290-mcp-weather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/soptik1290-mcp-weather/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