# mcp-lab-jma

> mcp-lab-jma — sasonoda-mcp-lab-jma. Use this tool when you need to access Japan-specific weather data, including forecasts, warnings, and observations. It solves problems related to retrieving and normalizing weather information from the Japan Meteorological Agency, handling Japanese place names and JSON APIs. The tool takes location queries as input and outputs standardized weather data, making it ideal for applications requiring accurate and localized Japanese weather information.

Canonical page: https://skillsregistry.net/skills/sasonoda-mcp-lab-jma  
JSON: https://api.skillsregistry.net/v1/skills/sasonoda-mcp-lab-jma

## Description

MCP server providing weather forecast, warnings, AMeDAS observations, and area search from Japan Meteorological Agency JSON APIs. It normalizes responses and supports Japanese place names.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bgrv39z4jh)
- **Repository:** <https://github.com/sasonoda/mcp-lab-jma>

## 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": "sasonoda-mcp-lab-jma"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sasonoda-mcp-lab-jma` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sasonoda-mcp-lab-jma/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