Bring Maritime Data
to CrewAI
Create your Vinkius account to connect JSONCargo Maritime to CrewAI and start using all 4 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 JSONCargo Maritime MCP Server?
Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with JSONCargo Maritime, the comprehensive source for real-time shipping data. By connecting JSONCargo to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for vessels, audit current voyage statuses, and retrieve detailed port metadata without you ever touching a maritime portal. Whether you are conducting supply chain research or monitoring regional trade constraints, your agent acts as a real-time maritime consultant, ensuring your data is always verified and precise.
What you can do
- Vessel Auditing — Search for thousands of maritime vessels by name or IMO number and retrieve detailed metadata, including flags and types.
- Voyage Oversight — Audit the current status and position of vessels to understand the temporal distribution of maritime logistics instantly.
- Port Discovery — Browse global ports and their location codes (LOCODEs) to maintain strict organizational control over trade routes.
- Logistics Intelligence — Retrieve unique vessel identifiers to assist in deep-dive supply chain classification.
- Operational Monitoring — Check API status to ensure your maritime research workflow is always operational.
How it works
- Subscribe to this server
- Enter your JSONCargo API Key
- Start managing your maritime intelligence through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Supply Chain Analysts — monitor vessel timelines and retrieve arrival metadata straight from your workflow.
- Logistics Planners — verify port locations and audit shipping patterns without manual searching.
- Trade Researchers — perform rapid audits of vessel metadata and identify relevant logistics markers through natural language.
- Operations Leads — automate maritime data querying to orchestrate cross-functional shipping teams smoothly.
Built-in capabilities (4)
Check if the JSONCargo service is operational
Get full metadata for the current voyage of a specific vessel ID
List global ports registered in the JSONCargo database
Search for maritime vessels by name or IMO number
Why CrewAI?
When paired with CrewAI, JSONCargo Maritime becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call JSONCargo Maritime 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
JSONCargo Maritime in CrewAI
Why run JSONCargo Maritime with Vinkius?
The JSONCargo Maritime 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 4 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 JSONCargo Maritime using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
JSONCargo Maritime and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect JSONCargo Maritime 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
JSONCargo Maritime for CrewAI
Every request between CrewAI and JSONCargo Maritime 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 JSONCargo API Key?
Log in to your JSONCargo account, navigate to your dashboard, and you will find your API Key in the 'Access Tokens' section. Copy and paste it below.
What vessel identifiers are supported?
The API supports searching by vessel name, IMO number, and unique JSONCargo identifiers.
Does it support real-time positions?
Yes. The get_current_voyage_details tool retrieves the most recent position and status metadata for active vessels.
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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