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Live · checked Oct 12, 2026MCPResearch & dataCommunity listed · unclaimed

ocean-schedules

Ocean freight sailing schedules & carrier on-time reliability. Compare carriers on any lane before you book: 72,000+ forward sailings, 5,000+ port-pairs, reliability scored from 4,200+ observed port calls (measured against first-declared schedules, to the minute). 9 tools incl. compare_lanes, carrier_reliability, transit_time, find_sailings. Free demo key smcp_demo_public — real data at schedulesmcp.com.

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http ocean-schedules https://server.smithery.ai/lxxmng/ocean-schedules/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "ocean-schedules": {
      "url": "https://server.smithery.ai/lxxmng/ocean-schedules/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call ocean-schedules from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool. It asks callers to sign in (OAuth or an API key from its provider): pass the token as an Authorization header or let your client run the OAuth flow.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://server.smithery.ai/lxxmng/ocean-schedules/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://server.smithery.ai/lxxmng/ocean-schedules/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "ocean-schedules" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="ocean-schedules")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Automated check

Not checked yet. Checks run in the background.