How to Use the Easyship MCP in CrewAI

Deploy autonomous shipping crews with CrewAI and the Easyship MCP Server.

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Connect Easyship MCP to CrewAI

Create your Vinkius account to connect Easyship 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 Easyship with CrewAI

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Autonomous shipping crews in CrewAI

Assign `list_latest_shipments` to a monitor agent that watches for new orders. When a new shipment appears, the agent passes the data to the rest of the crew for processing. This setup removes the need for manual data entry. Your agents handle the heavy lifting while you focus on high-level operational strategy.

Logistics data retrieval for CrewAI

Use `list_logistics_shipments` to give your research agent a complete overview of your current backlog. The agent analyzes the list and categorizes shipments by status. This provides your crew with the context needed to prioritize tasks. Your agents work together to ensure no package is left behind or ignored.

Scale logistics with CrewAI

Coordinate `get_shipping_rates` and `list_available_couriers` across multiple agents to find the best rates for every package. Your crew compares options and selects the most efficient route. By splitting the work, your agents finish the analysis in seconds. This is how you manage high-volume shipping without adding more staff.

Setup guide

Set up Easyship 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 Easyship tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Easyship 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 Easyship. 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 Easyship MCP in CrewAI

Yes, agents in the same crew share memory. Once an agent fetches shipment details, the entire crew has access to that info for their respective tasks.

The agent calls the tool and receives a list of quotes. You can then instruct a secondary agent to pick the cheapest option based on your business rules.

It is straightforward. Simply add the server URL to your agent configuration, and the tools are ready for use immediately.

Only the tools you explicitly allow are accessible. Your shipment tracking numbers and courier logs remain protected within your secure agent environment.

The server uses an isolated sandbox for every session. Your logistics data is never persisted beyond the life of the agent's task execution.

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