Flexport Logistics 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 Logistics as an MCP tool provider through 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 Logistics. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Flexport Logistics?"
)
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 Logistics MCP Server
Connect your Flexport Logistics account to any AI agent and automate your e-commerce fulfillment and warehousing operations through the Model Context Protocol (MCP). Flexport Logistics (formerly Deliverr) provides a high-speed fulfillment network that ensures your customers get their orders fast. Now, you can manage orders, track real-time inventory, and handle returns directly through natural conversation.
LlamaIndex agents combine Flexport Logistics tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through 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
- Order Fulfillment — Create and track fulfillment orders for your end customers across multiple sales channels.
- Real-time Inventory — Check current stock levels across the entire Flexport warehouse network to avoid stockouts.
- Inbound Management — List and monitor inbound shipments of inventory being sent to warehouses.
- Product Catalog — Access your fulfillment product library and fetch detailed metadata for specific SKUs.
- Return Handling — Manage customer return requests and track the status of returned items.
- Shipping Labels — List and retrieve purchased parcel shipping labels for your e-commerce shipments.
- Warehouse Network — Get visibility into the active warehouses in the Flexport fulfillment network.
The Flexport Logistics 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 Logistics to LlamaIndex via MCP
Follow these steps to integrate the Flexport Logistics 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 Logistics
Why Use LlamaIndex with the Flexport Logistics MCP Server
LlamaIndex provides unique advantages when paired with Flexport Logistics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Flexport Logistics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Flexport Logistics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Flexport Logistics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Flexport Logistics tools were called, what data was returned, and how it influenced the final answer
Flexport Logistics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Flexport Logistics MCP Server delivers measurable value.
Hybrid search: combine Flexport Logistics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Flexport Logistics 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 Logistics for fresh data
Analytical workflows: chain Flexport Logistics queries with LlamaIndex's data connectors to build multi-source analytical reports
Flexport Logistics MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Flexport Logistics to LlamaIndex via MCP:
create_logistics_order
Create fulfillment order
get_inbound
Get inbound details
get_logistics_order
Get order details
get_product
Get product details
get_return
Get return details
get_warehouse_network
List warehouses
list_inbounds
List inbound shipments
list_inventory
Check stock levels
list_labels
List shipping labels
list_logistics_orders
List fulfillment orders
list_products
List product catalog
list_returns
List customer returns
Example Prompts for Flexport Logistics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Flexport Logistics immediately.
"Check the current inventory level for SKU 'SKU-999'."
"List all fulfillment orders that were shipped today."
"Show me the status of my inbound shipment 'INB-123'."
Troubleshooting Flexport Logistics MCP Server with LlamaIndex
Common issues when connecting Flexport Logistics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFlexport Logistics + LlamaIndex FAQ
Common questions about integrating Flexport Logistics 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 Logistics 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 Logistics to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.