# Python Simple MCP Weather Server

> Use this tool when you need to fetch and serve real-time weather data for specific locations, solving problems related to accessing up-to-date weather information. It takes location inputs and outputs current weather conditions, utilizing the OpenWeatherMap API and FastMCP library. Ideal for use cases requiring dynamic weather data integration, such as IoT or smart home applications.

Canonical page: https://skillsregistry.net/skills/billumi-mcp-sample  
JSON: https://api.skillsregistry.net/v1/skills/billumi-mcp-sample

## Description

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p5vbopl40a)
- **Repository:** <https://github.com/billumi/mcp-sample>

## 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": "billumi-mcp-sample"
    }
  }
}
```

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