How to Use the VesselAPI MCP in OpenAI Agents SDK

Q: How does VesselAPI interact with OpenAI Agents SDK?

Your agent auto-discovers the MCP tools, including getvesseldetails, when you pass the server instance. The built-in guardrails ensure that only validated actions are executed against the API.

Q: Can I use VesselAPI with OpenAI Agents SDK for scheduling?

Yes, you can call getvesselschedules to pull upcoming port calls. This allows your agent to audit a vessel's itinerary against other systems.

Track maritime assets and audit schedules using your AI client, powered by OpenAI Agents SDK.

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Connect VesselAPI MCP to OpenAI Agents SDK

Create your Vinkius account to connect VesselAPI 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 VesselAPI with OpenAI Agents SDK

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Check Operational Status of the MCP Server

The `check_api_status` tool confirms if VesselAPI is running correctly. Before starting any complex query, you run this check to confirm service uptime. This lets your agent quickly determine if it should proceed with data requests or if a system outage needs reporting.

Get Real-Time AIS Position Data

Need the latest location? The `get_vessel_position` tool pulls the current AIS coordinates for any vessel. It delivers precise latitude and longitude data points. This is critical for monitoring assets mid-transit, giving your agent instant awareness of a ship's movement.

Search Vessels by Name or IMO

The `search_vessels` tool handles name lookups. You pass in a vessel's common name, and the system returns matching records. Alternatively, the `get_vessel_details` function requires an IMO number to pull comprehensive registry details on that specific ship.

Setup guide

Set up VesselAPI 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 VesselAPI tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate VesselAPI 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="VesselAPI Agent",
            instructions="You have access to VesselAPI 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 VesselAPI MCP in OpenAI Agents SDK

Your agent auto-discovers the MCP tools, including `get_vessel_details`, when you pass the server instance. The built-in guardrails ensure that only validated actions are executed against the API.

Yes, you can call `get_vessel_schedules` to pull upcoming port calls. This allows your agent to audit a vessel's itinerary against other systems.

This MCP Server touches vessel scheduling and location data, specifically requiring the IMO number or name for lookup. The primary data type is maritime records.

Absolutely. This function lists all global ports supported by VesselAPI, giving you a definitive list of operational endpoints for your agent to use in subsequent queries.

Since the MCP Server handles all communication, rate limits are managed at the server level. Your client setup uses async context managers, which helps manage multiple concurrent calls efficiently.

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