Bring Maritime Tracking
to CrewAI
Create your Vinkius account to connect VesselAPI to CrewAI and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your VesselAPI Key
- Start managing your maritime intelligence through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Supply Chain Analysts — monitor vessel movements and retrieve logistics metadata straight from your workflow.
- Trade Researchers — verify port calls and audit global shipping patterns without manual searching.
- Logistics Managers — perform rapid audits of vessel positions and identify potential delays through natural language.
- Operations Leads — automate maritime data querying to orchestrate cross-functional logistics teams smoothly.
Built-in capabilities (6)
Check if the VesselAPI is operational
Get comprehensive details for a vessel by IMO number
Get the latest AIS position for a vessel
Get upcoming port calls and schedules for a vessel
List global maritime ports supported by VesselAPI
Search for vessels by name
Why CrewAI?
When paired with CrewAI, VesselAPI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call VesselAPI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
VesselAPI in CrewAI
Why run VesselAPI with Vinkius?
The VesselAPI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect VesselAPI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
VesselAPI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect VesselAPI to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
VesselAPI for CrewAI
Every request between CrewAI and VesselAPI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find my VesselAPI Key?
Log in to your VesselAPI dashboard, 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.
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.
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.
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