# Multi_Agent_Weather_MCP_server

> Multi_Agent_Weather_MCP_server — feroake-multi-agent-weather-mcp-server. Use this tool when you need to generate touring advice based on weather conditions, and want to interact with it using natural language. It takes in user queries and weather data as inputs, and outputs personalized touring recommendations. Ideal for travel planning and weather-based decision making applications.

Canonical page: https://skillsregistry.net/skills/feroake-multi-agent-weather-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/feroake-multi-agent-weather-mcp-server

## Description

Multi Agent Weather MCP Server, understands natural language and outputs touring advice based on weather data.

## Trust

- **Trust score (0–1):** 0.89
- **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/feroake/Multi_Agent_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": "feroake-multi-agent-weather-mcp-server"
    }
  }
}
```

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