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

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Flexport through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Flexport "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Flexport?"
    )
    print(result.data)

asyncio.run(main())
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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.

Pydantic AI validates every Flexport tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Flexport MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Flexport with type-safe schemas

Why Use Pydantic AI with the Flexport MCP Server

Pydantic AI provides unique advantages when paired with Flexport through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flexport integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Flexport connection logic from agent behavior for testable, maintainable code

Flexport + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query Flexport with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Flexport tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Flexport and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Flexport responses and write comprehensive agent tests

Flexport MCP Tools for Pydantic AI (12)

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

01

create_purchase_order

Create a new purchase order

02

download_document

Get document download link

03

get_document

Get document metadata

04

get_invoice

Get invoice details

05

get_purchase_order

Get purchase order details

06

get_shipment

Get shipment details

07

list_commercial_invoices

List commercial invoices

08

list_documents

List logistics documents

09

list_invoices

List freight invoices

10

list_purchase_orders

List purchase orders

11

list_shipment_invoices

List invoices for shipment

12

list_shipments

List freight shipments

Example Prompts for Flexport in Pydantic AI

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

01

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

02

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

03

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

Troubleshooting Flexport MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Flexport + Pydantic AI FAQ

Common questions about integrating Flexport MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Flexport MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Flexport to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.