How do I track a specific shipment using its ID?

You can use the 'get_shipment' tool and provide the Flexport Shipment ID. The agent will return the most recent status, location, and estimated arrival dates for that shipment.

Can I retrieve commercial invoices for customs purposes?

Yes! The 'list_commercial_invoices' and 'list_documents' tools allow you to access the necessary paperwork for customs clearance. You can even use 'download_document' to get a temporary link to the actual file.

Is it possible to filter invoices by shipment?

Absolutely. Use the 'list_shipment_invoices' tool and provide the Shipment ID. The agent will retrieve all freight billing documents associated with that specific cargo movement.

Flexport MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Flexport
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Flexport through the Vinkius — pass the Edge URL in the `mcps` parameter and every Flexport tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Flexport Specialist",
    goal="Help users interact with Flexport effectively",
    backstory=(
        "You are an expert at leveraging Flexport tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Flexport "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Flexport MCP Server

Connect your Flexport account to any AI agent and automate your global trade and freight operations through the Model Context Protocol (MCP). Flexport is the modern freight forwarder that provides full visibility and control over your supply chain. Now, you can track shipments, manage purchase orders, and retrieve essential logistics documentation directly through natural conversation.

When paired with CrewAI, Flexport becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Flexport tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Shipment Tracking — List all your ocean and air shipments, fetch detailed tracking metadata, and monitor transit statuses in real-time.
PO Management — Automate your purchase order lifecycle by listing, retrieving, and creating POs directly from the agent.
Document Retrieval — List and fetch essential logistics documents such as Bills of Lading, Commercial Invoices, and Packing Lists.
Billing & Invoices — Access freight and commercial invoices associated with your account or specific shipments for better financial oversight.
Customs Documentation — Retrieve commercial invoice data required for customs clearance and compliance reporting.
Global Visibility — Get a high-level overview of your entire global supply chain operations without switching tabs.

The Flexport MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Flexport to CrewAI via MCP

Follow these steps to integrate the Flexport MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 12 tools from Flexport

Why Use CrewAI with the Flexport MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Flexport through the Model Context Protocol.

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

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter 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

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Flexport + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Flexport MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Flexport for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Flexport, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Flexport tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Flexport against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Flexport MCP Tools for CrewAI (12)

These 12 tools become available when you connect Flexport to CrewAI via MCP:

create_purchase_order

Create a new purchase order

download_document

Get document download link

get_document

Get document metadata

get_invoice

Get invoice details

get_purchase_order

Get purchase order details

get_shipment

Get shipment details

list_commercial_invoices

List commercial invoices

list_documents

List logistics documents

list_invoices

List freight invoices

list_purchase_orders

List purchase orders

list_shipment_invoices

List invoices for shipment

list_shipments

List freight shipments

Example Prompts for Flexport in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Flexport immediately.

"List my 5 most recent freight shipments and their status."

"Show me all purchase orders pending for this quarter."

"Get the download link for the Bill of Lading for shipment 'SHIP-789'."

Troubleshooting Flexport MCP Server with CrewAI

Common issues when connecting Flexport to CrewAI through the Vinkius, and how to resolve them.

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

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Flexport + CrewAI FAQ

Common questions about integrating Flexport MCP Server with CrewAI.

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.