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 CrewAI 8 tools — connect in under 2 minutes

Name: Datalastic Maritime
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Datalastic Maritime through Vinkius, pass the Edge URL in the `mcps` parameter and every Datalastic Maritime tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Datalastic Maritime Specialist",
    goal="Help users interact with Datalastic Maritime effectively",
    backstory=(
        "You are an expert at leveraging Datalastic Maritime tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Datalastic Maritime "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Datalastic Maritime becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Datalastic Maritime tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Datalastic Maritime MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Datalastic Maritime

Why Use CrewAI with the Datalastic Maritime MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Datalastic Maritime through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Datalastic Maritime + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Datalastic Maritime for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Datalastic Maritime, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Datalastic Maritime tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Datalastic Maritime against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Datalastic Maritime MCP Tools for CrewAI (8)

These 8 tools become available when you connect Datalastic Maritime to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Datalastic Maritime + CrewAI FAQ

Common questions about integrating Datalastic Maritime MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.