How to Use the Flexport Logistics MCP in CrewAI

Q: Can I use Flexport Logistics to automate returns in CrewAI?

Yes, your agents can call listreturns and getreturn to process customer claims automatically. This allows you to handle high volumes without manual intervention.

Q: Is it possible to track labels with Flexport Logistics in CrewAI?

You use the listlabels tool to pull shipping documentation. Your agents can then organize these labels by status or date for better management.

Deploy autonomous agent crews to monitor and manage global logistics with Flexport Logistics.

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Connect Flexport Logistics MCP to CrewAI

Create your Vinkius account to connect Flexport Logistics 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 Flexport Logistics with CrewAI

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Autonomous fulfillment monitoring in CrewAI

Assign a monitor agent to watch your order queue using `list_logistics_orders`. When a new order appears, the agent verifies data with `get_product` before acting. This builds a hands-off operation that runs 24/7. It stops you from manually checking every fulfillment status.

Specialized return processing in CrewAI

Create a dedicated return-handling agent that uses `get_return` to analyze why goods are coming back. It collaborates with other agents to update your inventory counts. This gives you clear insight into product issues. It removes the guesswork from reverse logistics.

Logistics data analysis with CrewAI

Use a research agent to aggregate shipping label data via `list_labels`. The agent summarizes performance and suggests improvements to your warehouse operations. This turns thousands of records into a simple executive summary. It helps you find bottlenecks in your supply chain.

Setup guide

Set up Flexport Logistics 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 Flexport Logistics tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You define a crew where specific agents hold access to the server tools. They can then share memory to coordinate tasks like order verification and inventory updates.

Yes, your agents can call `list_returns` and `get_return` to process customer claims automatically. This allows you to handle high volumes without manual intervention.

You add more specialized agents to your crew to handle specific tasks like inbound shipment tracking or inventory audits. Each agent uses a subset of available tools.

You use the `list_labels` tool to pull shipping documentation. Your agents can then organize these labels by status or date for better management.

Your order records are protected by an isolated V8 sandbox that wipes all session data immediately after processing. We never store personal customer details on the MCP server.

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