MCP server

Yamagishi Sync Lab: wages and business risks

jp.aluzza/wages-risk

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Same-job hourly wages in Japan, US, UK, Germany, France; ranks of 31 business risks, Japan vs US.

Working at last checkVerified publisher: aluzza.jpAbout 474 tokens per request once connected6 tools

https://www.aluzza.jp/mcp/

At a glance

Type: MCP server
Publisher: aluzza.jp (verified by the MCP Registry)
Status: Working at last check
Tools: 6
Token cost: About 474 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http wages-risk https://www.aluzza.jp/mcp/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.wages-risk]
url = "https://www.aluzza.jp/mcp/"

Gemini CLI

{"mcpServers":{"wages-risk":{"httpUrl":"https://www.aluzza.jp/mcp/"}}}

Cursor

{"mcpServers":{"wages-risk":{"url":"https://www.aluzza.jp/mcp/"}}}

VS Code

{"servers":{"wages-risk":{"type":"http","url":"https://www.aluzza.jp/mcp/"}}}

Antigravity

agy mcp add wages-risk https://www.aluzza.jp/mcp/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"wages-risk","server_url":"https://www.aluzza.jp/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wages-risk","server_url":"https://www.aluzza.jp/mcp/"}

about_data ~32 tokens
このデータの範囲と、二つの読みもののページ。
compare_wages ~115 tokens
同じ仕事の時給を、日本・米国・英国・ドイツで比べる（56 の仕事）。円に直さず、その国の仕事全体の平均の時給の何倍か（ratio）で返す。query は日本語の仕事の名前か、英語の職業名（例：薬剤師・保育士・software・nurse）。field で分野だけに絞れる。どちらも省くと仕事の一覧。
france_groups ~41 tokens
フランス（Insee の職業の大くくり 9 区分）と、日本でそれに当たる職業をまとめた時給の倍率の比べ。
risk_categories ~107 tokens
日本 3,766 社と米国 3,808 社の上場企業が「事業のリスク」の見出しに書いた心配ごとの 31 の種類。日米の順位・割合・順位の差。query で種類の名前を絞れる。sort_by は JP（日本の順位）・US（米国の順位）・gap（順位の差が大きい順）。
risk_overview ~57 tokens
日米の事業のリスクのまとめ：社数・1 社あたりの見出しの数・米国で AI・生成 AI・関税・Google と書いた会社の数と割合・米国の業種ごとの AI と Google の割合・小売の会社の 8 つの軸（日米）。
wages_ranking ~122 tokens
一つの国の中で、仕事全体の平均に対する倍率（ratio）の高い順か低い順に並べる。

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