ShipBob MCP Server for LangChainGive LangChain instant access to 30 tools to Batch Cancel Shipments, Batch Update Tracking, Cancel Order, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect ShipBob through 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 for LangChain
The ShipBob MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 30 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"shipbob": {
"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 ShipBob, 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 ShipBob MCP Server
Connect your ShipBob account to any AI agent and take full control of your e-commerce fulfillment and supply chain through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with ShipBob through native MCP adapters. Connect 30 tools via 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
- Order Management — List, retrieve, and create fulfillment orders. Check real-time statuses and cancel orders when necessary.
- Product Catalog — Manage your virtual product records, list variants, and convert items into bundles directly from the chat.
- Inventory Tracking — Monitor inventory levels across different locations, check lot-specific data, and query historical inventory movements.
- Shipment Visibility — Get detailed tracking information and update shipment addresses to ensure successful deliveries.
- Returns & Receiving — Create and manage return orders and Warehouse Receiving Orders (WRO) to keep your supply chain moving.
The ShipBob MCP Server exposes 30 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 30 ShipBob tools available for LangChain
When LangChain connects to ShipBob through Vinkius, your AI agent gets direct access to every tool listed below — spanning fulfillment, order-tracking, supply-chain, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Batch cancel shipments on ShipBob
Cancel multiple shipments at once
Batch update tracking on ShipBob
Mark tracking as synced to your system
Cancel order on ShipBob
Cancel an order and its shipments
Convert variant to bundle on ShipBob
Convert a variant into a bundle
Create order on ShipBob
Create a new fulfillment order
Create product on ShipBob
Create a new product with variants
Create receiving on ShipBob
Create a new Warehouse Receiving Order (WRO)
Create return on ShipBob
Create a return order (RMA)
Get inventory levels on ShipBob
Get aggregated inventory levels across all locations
Get inventory levels by location on ShipBob
Get inventory levels grouped by fulfillment center
Get inventory levels by lot on ShipBob
Get inventory levels grouped by lot/expiration
Get order on ShipBob
Get order details and shipment status
Get product on ShipBob
Get details for a specific product
Get receiving labels on ShipBob
Get PDF box labels for a WRO
Get shipment on ShipBob
Get specific shipment details
List channels on ShipBob
g., a Shopify store). List all channels the user has access to
List inventory on ShipBob
List all inventory items
List invoices on ShipBob
List invoices by date range
List orders on ShipBob
List orders with status/tracking filters
List product variants on ShipBob
List all variants for a product
List products on ShipBob
List products with filtering
List receiving on ShipBob
List Warehouse Receiving Orders (WROs)
List returns on ShipBob
List return orders
List transaction fees on ShipBob
List available fee types
Query inventory history on ShipBob
Query inventory movement events
Query transactions on ShipBob
Search transactions (charges, credits)
Set external sync receiving on ShipBob
Mark WROs as synced to your system
Update product on ShipBob
Update product details
Update return on ShipBob
Update an existing return
Update shipment address on ShipBob
Update the shipping address for a shipment
Connect ShipBob to LangChain via MCP
Follow these steps to wire ShipBob into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the ShipBob MCP Server
LangChain provides unique advantages when paired with ShipBob through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ShipBob 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 ShipBob queries for multi-turn workflows
ShipBob + LangChain Use Cases
Practical scenarios where LangChain combined with the ShipBob MCP Server delivers measurable value.
RAG with live data: combine ShipBob tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ShipBob, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ShipBob tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ShipBob tool call, measure latency, and optimize your agent's performance
Example Prompts for ShipBob in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ShipBob immediately.
"List all my active ShipBob sales channels."
"What is the current status and tracking for order 123456?"
"Show me the inventory levels for SKU 'SUMMER-HAT-01'."
Troubleshooting ShipBob MCP Server with LangChain
Common issues when connecting ShipBob to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersShipBob + LangChain FAQ
Common questions about integrating ShipBob 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?
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