How do I find my VesselAPI Key?

Log in to your [**VesselAPI dashboard**](https://vesselapi.com/account), and you will find your API Key under the settings page. Copy and paste it below.

Does it support real-time AIS data?

Yes. The `get_vessel_position` tool provides the latest AIS position received for the specified vessel IMO number.

Can the agent show port schedules?

Yes. Use the `get_vessel_schedules` tool to retrieve upcoming port calls and arrival/departure metadata for any vessel.

VesselAPI MCP Server for LangChain 6 tools — connect in under 2 minutes

Name: VesselAPI
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect VesselAPI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "vesselapi": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using VesselAPI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About VesselAPI MCP Server

Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with VesselAPI, the comprehensive source for global shipping data. By connecting VesselAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly track vessels by IMO number, audit upcoming port schedules, and retrieve real-time AIS positions without you ever touching a maritime dashboard. Whether you are conducting supply chain research or monitoring global trade flow, your agent acts as a real-time maritime consultant, ensuring your data is always precise and up-to-the-minute.

LangChain's ecosystem of 500+ components combines seamlessly with VesselAPI through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Vessel Auditing — Retrieve high-resolution details for any vessel by IMO number, including flag, type, and build metadata.
Schedule Oversight — Audit upcoming port calls and historical schedules to maintain a clear view of maritime logistics.
Position Intelligence — Query real-time AIS positions to understand the current geographic distribution of vessels instantly.
Port Discovery — List global maritime ports and retrieve localized metadata to assist in geographic planning.
Logistics Monitoring — Check API status and monitor your data usage to maintain strict control over your research volume.

The VesselAPI MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect VesselAPI to LangChain via MCP

Follow these steps to integrate the VesselAPI MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 6 tools from VesselAPI via MCP

Why Use LangChain with the VesselAPI MCP Server

LangChain provides unique advantages when paired with VesselAPI through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine VesselAPI MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across VesselAPI queries for multi-turn workflows

VesselAPI + LangChain Use Cases

Practical scenarios where LangChain combined with the VesselAPI MCP Server delivers measurable value.

RAG with live data: combine VesselAPI tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query VesselAPI, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain VesselAPI tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every VesselAPI tool call, measure latency, and optimize your agent's performance

VesselAPI MCP Tools for LangChain (6)

These 6 tools become available when you connect VesselAPI to LangChain via MCP:

check_api_status

Check if the VesselAPI is operational

get_vessel_details

Get comprehensive details for a vessel by IMO number

get_vessel_position

Get the latest AIS position for a vessel

get_vessel_schedules

Get upcoming port calls and schedules for a vessel

list_maritime_ports

List global maritime ports supported by VesselAPI

search_vessels

Search for vessels by name

Example Prompts for VesselAPI in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with VesselAPI immediately.

"Get details for vessel with IMO 9411159 using VesselAPI."

"Where is vessel 'MSC OSCAR' located right now?"

"Show upcoming schedules for IMO 9243394."

Troubleshooting VesselAPI MCP Server with LangChain

Common issues when connecting VesselAPI to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

VesselAPI + LangChain FAQ

Common questions about integrating VesselAPI MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.