Bring Freight Forwarding
to Pydantic AI
Learn how to connect Flexport to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server through the Vinkius Marketplace
2. Enter your Flexport API Key (found in your Flexport Developer Portal)
3. Start managing your global freight operations from Claude, Cursor, or any MCP client
Who is this for?
- Logistics Managers — quickly check shipment statuses and cargo ready dates while coordinating with carriers.
- Supply Chain Analysts — get a real-time overview of purchase orders and invoices through simple AI commands.
- Finance Operations — automate the retrieval of freight billing data and documents for audit and reconciliation.
Built-in capabilities (12)
Create a new purchase order
Get document download link
Get document metadata
Get invoice details
Get purchase order details
Get shipment details
List commercial invoices
List logistics documents
List freight invoices
List purchase orders
List invoices for shipment
List freight shipments
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flexport integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Flexport connection logic from agent behavior for testable, maintainable code
Flexport in Pydantic AI
Flexport and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Flexport to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Flexport in Pydantic AI
The Flexport 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Flexport for Pydantic AI
Every tool call from Pydantic AI to the Flexport MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
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.
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Update: pip install --upgrade pydantic-ai
