# JWeather

> Use this tool when you need to integrate weather data into your AI assistant applications, providing real-time information to solve use cases such as location-based weather forecasting, event planning, and travel planning. JWeather MCP Server offers a Python-based interface for handling concurrent requests and provides automated testing and publishing capabilities. It is ideal for developers seeking a reliable and efficient weather data service with modern Python packaging and CI/CD workflows.

Canonical page: https://skillsregistry.net/skills/jweather  
JSON: https://api.skillsregistry.net/v1/skills/jweather

## Description

JWeather MCP Server provides a weather data service for AI assistants, built on the MCP framework. The server is implemented in Python 3.10 and uses asyncio for handling concurrent requests. It leverages GitHub Actions for automated testing, formatting, and type checking, with PyPI publishing configured for releases. The implementation follows modern Python packaging practices with uv for dependency management and includes comprehensive CI/CD workflows for quality assurance.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jweather)
- **Repository:** <https://github.com/juhemcp/jweather-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": "jweather"
    }
  }
}
```

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