Can I track a ship using its name?

Yes! Use the `search_maritime_vessels` tool with the vessel's name. It will return a list of matching ships with their MMSI numbers, which you can then use for real-time tracking.

What is an MMSI number?

MMSI stands for Maritime Mobile Service Identity. It is a unique 9-digit number used to identify a vessel's radio equipment and is the primary identifier for AIS tracking.

How can I find the official code for a port?

Use the `search_ports_by_country` tool with the 2-letter ISO country code. The response will list ports in that country along with their official UN/LOCODEs.

Datalastic Maritime MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Datalastic Maritime
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Datalastic Maritime 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

Open in ChatGPT Open in Claude Open in Perplexity

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 Datalastic Maritime "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Datalastic Maritime MCP Server

Equip your AI agent with real-time global maritime intelligence through the Datalastic MCP server. This integration provides instant access to detailed information on thousands of vessels and ports worldwide. Your agent can search for ships by name, retrieve exhaustive metadata (including MMSI, status, and flag), and track real-time positions and ETAs for specific vessels. It also allows searching for maritime ports by country to find official UN/LOCODEs. Whether you are managing global logistics, auditing supply chains, or researching maritime traffic, your agent acts as a dedicated port captain and logistics analyst through natural conversation.

Pydantic AI validates every Datalastic Maritime tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Search & Specs — Find commercial ships by name and retrieve robust technical dimensions and tonnages.
Navigation Intelligence — Retrieve real-time positions, ETAs, and historical AIS tracking paths for specific vessels.
Geofence Discovery — Find all active vessels and cargo tankers located within a specific circular radius instantly.
Port Insights — Discover maritime ports by country or name and retrieve exact geolocations and UN/LOCODEs.

The Datalastic Maritime MCP Server exposes 8 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 Datalastic Maritime to Pydantic AI via MCP

Follow these steps to integrate the Datalastic Maritime 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 8 tools from Datalastic Maritime with type-safe schemas

Why Use Pydantic AI with the Datalastic Maritime MCP Server

Pydantic AI provides unique advantages when paired with Datalastic Maritime 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 Datalastic Maritime integration code

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

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

Datalastic Maritime + Pydantic AI Use Cases

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

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

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

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

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

Datalastic Maritime MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Datalastic Maritime to Pydantic AI via MCP:

find_vessels_in_radius

Find all vessels currently located within a specific circular radius

get_port_details

Get specific details and coordinates for a maritime port

get_vessel_history

Get historical AIS track and location data for a vessel

get_vessel_pro_specs

Get advanced technical specifications for a vessel

get_vessel_status

Get real-time location and status for a specific vessel

search_maritime_vessels

Search for vessels by name

search_ports_by_country

Search for maritime ports in a specific country

search_ports_by_name

Search for maritime ports by text name

Example Prompts for Datalastic Maritime in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Datalastic Maritime immediately.

"Search for a vessel named 'Ever Given'."

"What is the current status and ETA for vessel MMSI '235114578'?"

"List all major ports in 'Brazil'."

Troubleshooting Datalastic Maritime MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Datalastic Maritime + Pydantic AI FAQ

Common questions about integrating Datalastic Maritime 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 Datalastic Maritime MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.