MCP server

ALUZZA MARINE: Japan boat trade and tide tables Official

jp.aluzza/marine

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

Japan boat trade 2011-2025, tide tables for 239 ports and past monthly weather near ports (JMA).

Working at last checkVerified publisher: aluzza.jpAbout 1,060 tokens per request once connected8 tools

Website

https://marine.aluzza.jp/mcp/

At a glance

Type: MCP server
Publisher: aluzza.jp (verified by the MCP Registry)
Status: Working at last check
Tools: 8
Token cost: About 1,060 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

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

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 marine https://marine.aluzza.jp/mcp/

Claude Desktop

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

Codex (config.toml)

[mcp_servers.marine]
url = "https://marine.aluzza.jp/mcp/"

Gemini CLI

{"mcpServers":{"marine":{"httpUrl":"https://marine.aluzza.jp/mcp/"}}}

Cursor

{"mcpServers":{"marine":{"url":"https://marine.aluzza.jp/mcp/"}}}

VS Code

{"servers":{"marine":{"type":"http","url":"https://marine.aluzza.jp/mcp/"}}}

Antigravity

agy mcp add marine https://marine.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":"marine","server_url":"https://marine.aluzza.jp/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"marine","server_url":"https://marine.aluzza.jp/mcp/"}

Tools

get_tide ~167 tokens
ある地点・ある日の満潮と干潮の時刻と潮位（cm・潮位表基準面から）、月齢、潮回り（大潮・中潮・小潮・長潮・若潮）、その日の月相を返す（2026-01-01〜2027-12-31）。days で 7 日まで続けて。include_hourly で 1 時間ごとの潮位も。気象庁の天文潮の推算で、予報ではない。
get_trade ~169 tokens
ある年・流れ・品目の、国ごとの数量と金額（円）を返す。partner を書けばその国だけ。partner に「世界の合計」と書けば全体。
list_codes ~38 tokens
使える品目の番号と名前（日本語と英語）、データの注意を返す。最初にこれを呼ぶと間違えにくい。
list_tide_stations ~90 tokens
潮見表の地点（気象庁の潮位表の 239 か所）を探す。query に地名（例：釧路・東京・横浜・博多）、region に地方（例：北海道東部・関東地方・伊豆諸島）。どちらも省くと地方の一覧と地点の数。
next_tide ~104 tokens
いま（日本の時刻）から見た、次の満潮と次の干潮の時刻・潮位・あと何分か、いまの潮位のおよその値と上げ潮か下げ潮か、潮回りを返す。読み上げ用の短い文（speech_ja）つき。at で別の時刻も。気象庁の天文潮の推算で、予報ではない。
past_weather ~138 tokens
港（潮見表の地点）のいちばん近い気象台・測候所（40 km 以内）の、過去の月ごとの平均気温・平均風速・降水量（1991 年から・気象庁の観測）。year だけならその年の 12 か月、month だけなら毎年のその月、両方なら一つの月、どちらも省くと最新の 12 か月。過去の観測で、予報ではない。
top_partners ~219 tokens
年の範囲・流れ・品目で、相手の国を数量か金額の大きい順に並べる。1 つあたりの平均の値段（円）も付ける。
yearly_series ~135 tokens
流れ・品目・相手の国の、2011〜2025 年の年ごとの数量と金額（円）を返す。partner を省くと世界の合計。

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