How to Use the JSONCargo Maritime MCP in CrewAI

Q: How do I expose JSONCargo Maritime tools to a CrewAI agent?

Pass the HTTP server URL directly into the mcps parameter of your CrewAI agent definition. The framework automatically parses and registers all four maritime tools for that agent.

Q: Can I limit which JSONCargo Maritime tools a CrewAI agent can access?

Yes, you can use the MCPServerHTTP class from crewai.mcp and apply a toolfilter. This restricts specific agents to only calling listmaritimeports while blocking voyage detail access.

Deploy a crew of specialized AI agents to coordinate global ports and audit active voyages autonomously with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect JSONCargo Maritime MCP to CrewAI

Create your Vinkius account to connect JSONCargo Maritime to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup JSONCargo Maritime with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent voyage auditing with CrewAI

The `get_current_voyage_details` tool gives your CrewAI tracking agent the raw transit logs it needs to evaluate ship performance. While one agent pulls raw coordinates, another reviews them for delays. It happens simultaneously. This sequential execution ensures that your CrewAI agents share memory. The analyst agent knows exactly what the tracking agent found, preventing redundant queries to the MCP Server.

Autonomous port congestion monitoring

The `list_maritime_ports` tool provides real-time congestion metrics that your CrewAI port manager agent uses to flags bottlenecks. A separate escalation agent can then step in to notify logistics teams if delays cross critical thresholds. This multi-agent CrewAI setup runs completely on autopilot. Your crew continuously monitors global port coordinates without requiring constant developer intervention.

Vessel registry lookup teams

The `search_maritime_vessels` tool allows your research agent to look up specific ships by IMO or name. Before executing a deep dive, a supervisor agent runs `check_api_status` to ensure the maritime database is fully reachable. CrewAI coordinates these tasks using hierarchical execution. You set the goals, and the crew determines the optimal order to execute the maritime tools.

Setup guide

Set up JSONCargo Maritime MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke JSONCargo Maritime tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="JSONCargo Maritime Analyst",
    goal="Access and analyze JSONCargo Maritime data via MCP.",
    backstory="Expert analyst with direct JSONCargo Maritime access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent JSONCargo Maritime transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="JSONCargo Maritime Analyst",
        goal="Access and analyze JSONCargo Maritime data via MCP.",
        backstory="Expert analyst with direct JSONCargo Maritime access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent JSONCargo Maritime transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JSONCargo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect JSONCargo Maritime now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about JSONCargo Maritime MCP in CrewAI

Pass the HTTP server URL directly into the `mcps` parameter of your CrewAI agent definition. The framework automatically parses and registers all four maritime tools for that agent.

Yes, you can use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter`. This restricts specific agents to only calling `list_maritime_ports` while blocking voyage detail access.

CrewAI agents use a shared memory system. When one agent calls `search_maritime_vessels`, the resulting IMO and vessel details are immediately accessible to all other agents in the crew.

Yes, CrewAI supports stdio, SSE, and HTTP transports. You can run the MCP Server locally via stdio for development or connect to the hosted Vinkius endpoint over HTTP.

Your vessel registry queries and transit logs flow directly between your CrewAI agents and the JSONCargo Maritime MCP server. Vinkius runs the server in an ephemeral V8 sandbox, ensuring no data is saved or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript