# Python Weather MCP Server

> Use this tool when you need to retrieve real-time weather data for any location, solving problems such as informing travel plans or predicting environmental conditions. It takes location inputs and returns current weather conditions, forecasts, and other relevant data through the OpenWeatherMap API. Ideal for use in applications requiring up-to-date weather information, such as chatbots, virtual assistants, or location-based services.

Canonical page: https://skillsregistry.net/skills/emanmanco-mcppythonweather  
JSON: https://api.skillsregistry.net/v1/skills/emanmanco-mcppythonweather

## Description

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gz20s1sjgf)
- **Repository:** <https://github.com/EmanManco/mcpPythonWeather>

## 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": "emanmanco-mcppythonweather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emanmanco-mcppythonweather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emanmanco-mcppythonweather/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