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 Pydantic AI 6 tools — connect in under 2 minutes

Name: VesselAPI
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect VesselAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to VesselAPI "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in VesselAPI?"
    )
    print(result.data)

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.

Pydantic AI validates every VesselAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the VesselAPI MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from VesselAPI with type-safe schemas

Why Use Pydantic AI with the VesselAPI MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your VesselAPI integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your VesselAPI connection logic from agent behavior for testable, maintainable code

VesselAPI + Pydantic AI Use Cases

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

Type-safe data pipelines: query VesselAPI with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple VesselAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query VesselAPI and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock VesselAPI responses and write comprehensive agent tests

VesselAPI MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect VesselAPI to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

VesselAPI + Pydantic AI FAQ

Common questions about integrating VesselAPI MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your VesselAPI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.