Flexport MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flexport integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Flexport with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Flexport tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Flexport and output structured, schema-compliant notifications
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:
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Flexport to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFlexport + Pydantic AI FAQ
Common questions about integrating Flexport MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Flexport with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
