# Weather MCP Server

> Use this tool when you need to retrieve current weather information using natural language queries. It solves the problem of accessing live weather data by selecting the appropriate API tool and returning HTML-formatted answers. The tool takes in natural language questions as input and outputs relevant weather information in a user-friendly format.

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

## Description

Enables asking natural language weather questions; an LLM agent selects the appropriate live weather API tool and returns an HTML-formatted answer.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m3uu5j6yv3)
- **Repository:** <https://github.com/RimeetMavani/weather-mcp--build>

## 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": "rimeetmavani-weather-mcp-build"
    }
  }
}
```

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