How to Use the Datalastic Maritime MCP in OpenAI Agents SDK

Build production maritime tracking agents using Datalastic Maritime and the OpenAI Agents SDK.

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Connect Datalastic Maritime MCP to OpenAI Agents SDK

Create your Vinkius account to connect Datalastic Maritime to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Datalastic Maritime with OpenAI Agents SDK

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Perplexity

Track global shipping fleets with an MCP Server

Your OpenAI agent needs real-time AIS data to monitor supply chains. Connect the Datalastic Maritime endpoint and your system immediately pulls current coordinates using `get_vessel_status`. Handoffs between specialized agents let one track the ship while another calculates arrival delays. Historical routing matters just as much. The `get_vessel_history` tool feeds past AIS tracks directly into your agent's context window. Built-in guardrails ensure your script validates the vessel's IMO number before executing the query.

Map regional port congestion

Finding ships near a specific harbor usually requires complex geospatial queries. We simplified that by exposing `find_vessels_in_radius` so your agent grabs everything within a defined nautical circle. You get exact counts of anchored and moving traffic instantly. Port data comes standard too. Your Python script can trigger `search_ports_by_country` to list available docks, then run `get_port_details` to pull exact coordinates. Full tracing in the OpenAI dashboard shows exactly which port the MCP Server queried and when.

Pull advanced technical specifications

Sometimes a basic ship name search falls short for maritime logistics. When your agent runs `search_maritime_vessels`, it identifies the exact hull. Then it digs deeper. Calling `get_vessel_pro_specs` returns detailed dimensions, draft, and tonnage. OpenAI's safety constraints ensure these technical specs stay within expected numerical ranges before passing the data to your downstream logistics dashboard.

Setup guide

Set up Datalastic Maritime MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Datalastic Maritime tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Datalastic Maritime tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Datalastic Maritime tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Datalastic Maritime Agent",
            instructions="You have access to Datalastic Maritime tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Datalastic Maritime MCP in OpenAI Agents SDK

Install the framework via pip. Create an MCPServerStreamableHttp instance with your Vinkius endpoint URL. Pass it to your Agent constructor in the mcp_servers array.

Yes, you set cacheToolsList=True during initialization. That stops the agent from re-fetching the tool definitions on every single AIS query.

It works perfectly. You define constraints in your agent setup, and the framework validates inputs before hitting tools like get_vessel_status.

Writing custom API wrappers wastes time. The MCP handles tool discovery automatically, letting your agent search ports and track ships without writing boilerplate request code.

Vinkius executes queries in a zero-trust V8 Isolate sandbox. Your search terms, vessel IMO numbers, and radius coordinates disappear the moment the connection closes.

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