How to Use the Ship24 MCP in CrewAI

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Connect Ship24 MCP to CrewAI

Create your Vinkius account to connect Ship24 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.

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Setup Ship24 with CrewAI

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Discover Supported Global Couriers

Give the Research Agent the task of using `list_couriers`. It compiles a list of all 1200+ carriers, letting you know exactly where your shipment can go. This is perfect for setting up initial operational parameters for a crew before any tracking starts.

Coordinate Bulk Tracking Operations

Assign the Logistics Agent to run `create_bulk_trackers`. It manages the entire batch process, coordinating data retrieval from numerous carriers simultaneously. The shared memory of the crew ensures that every agent knows which numbers have already been processed and what the current status is.

Identify Tracking Gaps in a Region

Have Agent A run `search_couriers` to check for local options like 'Correios.' This narrows down possibilities, letting the Action Agent focus only on relevant carriers. This specialization prevents unnecessary API calls and keeps the operation focused.

Setup guide

Set up Ship24 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 Ship24 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Ship24 Analyst",
    goal="Access and analyze Ship24 data via MCP.",
    backstory="Expert analyst with direct Ship24 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Ship24 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="Ship24 Analyst",
        goal="Access and analyze Ship24 data via MCP.",
        backstory="Expert analyst with direct Ship24 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Ship24 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 Ship24. 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.

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Common questions about Ship24 MCP in CrewAI

You define roles. Agent A researches available carriers using `list_couriers`, and Agent B takes the data from Agent A to perform `find_tracker_by_number`. The crew coordinates the handoff.

Yes. You can build a monitoring agent that watches for status changes and assigns specific tracking jobs to different specialized agents, ensuring continuous oversight of global shipments.

The crew can be configured: Agent A searches by number using `find_tracker_by_number`. If that fails, Agent B takes over and uses `search_couriers` for alternative identifiers.

It does. You can set up a hierarchical workflow where one agent manages regional input, passing filtered data to another agent that executes the necessary `create_tracker` calls.

It handles all shipment identification and status data: listing carriers via `list_couriers`, retrieving specific package statuses, and managing bulk records for accurate tracking number history.

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