MCP server

PlugRail JP Recall Official

dev.plugrail/jp-recall

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Search Japanese product recalls by keyword and category using public Consumer Affairs Agency data.

Working at last checkVerified publisher: plugrail.devAbout 467 tokens per request once connected2 tools

https://jp-recall.plugrail.dev/mcp

At a glance

Type: MCP server
Publisher: plugrail.dev (verified by the MCP Registry)
Status: Working at last check
Tools: 2
Token cost: About 467 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 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 jp-recall https://jp-recall.plugrail.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.jp-recall]
url = "https://jp-recall.plugrail.dev/mcp"

Gemini CLI

{"mcpServers":{"jp-recall":{"httpUrl":"https://jp-recall.plugrail.dev/mcp"}}}

Cursor

{"mcpServers":{"jp-recall":{"url":"https://jp-recall.plugrail.dev/mcp"}}}

VS Code

{"servers":{"jp-recall":{"type":"http","url":"https://jp-recall.plugrail.dev/mcp"}}}

Antigravity

agy mcp add jp-recall https://jp-recall.plugrail.dev/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":"jp-recall","server_url":"https://jp-recall.plugrail.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jp-recall","server_url":"https://jp-recall.plugrail.dev/mcp"}

get_recall_detail ~105 tokens
管理番号（11桁）からリコール詳細1件を取得します。入力例: {"management_number": "00000035877"}
search_recalls ~362 tokens
消費者庁リコール情報サイトをキーワード＋カテゴリで検索します。検索語は日本語推奨（英語の代表語は日本語に読み替えます。例: stroller→ベビーカー）。かな/全角/英語を読み替えて検索した場合は summary に「〜として検索しました」と明記します。JAN・型番の照会は keyword にそのまま渡せます。入力例: {"keyword": "サーキュレーター", "category": "0", "limit": 15}掲載日の絞り込み posted_since/posted_until（YYYY-MM-DD・両端含む）を指定すると、上流の新しい順に最大5ページ（75件）まで走査して絞り

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