Flexport MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Flexport as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Flexport. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Flexport?"
)
print(response)
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.
LlamaIndex agents combine Flexport tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Flexport MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Flexport MCP Server
LlamaIndex provides unique advantages when paired with Flexport through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Flexport tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Flexport tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Flexport, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Flexport tools were called, what data was returned, and how it influenced the final answer
Flexport + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Flexport MCP Server delivers measurable value.
Hybrid search: combine Flexport real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Flexport to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Flexport for fresh data
Analytical workflows: chain Flexport queries with LlamaIndex's data connectors to build multi-source analytical reports
Flexport MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Flexport to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Flexport to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFlexport + LlamaIndex FAQ
Common questions about integrating Flexport MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.