Flexport MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Flexport through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"flexport": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Flexport, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Flexport through native MCP adapters. Connect 12 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Flexport MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Flexport via MCP
Why Use LangChain with the Flexport MCP Server
LangChain provides unique advantages when paired with Flexport through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Flexport MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Flexport queries for multi-turn workflows
Flexport + LangChain Use Cases
Practical scenarios where LangChain combined with the Flexport MCP Server delivers measurable value.
RAG with live data: combine Flexport tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Flexport, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Flexport tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Flexport tool call, measure latency, and optimize your agent's performance
Flexport MCP Tools for LangChain (12)
These 12 tools become available when you connect Flexport to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Flexport to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFlexport + LangChain FAQ
Common questions about integrating Flexport MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.