Duoplane MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Duoplane 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
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({
"duoplane": {
"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 Duoplane, 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 Duoplane MCP Server
Integrate Duoplane, the leading multi-vendor e-commerce automation platform, directly into your AI workflow. Manage your customer orders across multiple storefronts, track purchase orders sent to vendors, monitor vendor profiles and connection statuses, and oversee your synchronized product catalog using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Duoplane through native MCP adapters. Connect 11 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 Oversight — List and retrieve detailed information and status for all your customer orders and their associated fulfillment stages.
- Purchase Order Intelligence — Monitor purchase orders sent to vendors, including tracking numbers and real-time fulfillment history.
- Vendor Management — Access and monitor all drop-ship and wholesale vendors, resolving connection statuses and order routing settings.
- Inventory Auditing — Retrieve high-level summaries of synchronized products, vendor activity, and inventory counts across your organization.
The Duoplane MCP Server exposes 11 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 Duoplane to LangChain via MCP
Follow these steps to integrate the Duoplane 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 11 tools from Duoplane via MCP
Why Use LangChain with the Duoplane MCP Server
LangChain provides unique advantages when paired with Duoplane through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Duoplane 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 Duoplane queries for multi-turn workflows
Duoplane + LangChain Use Cases
Practical scenarios where LangChain combined with the Duoplane MCP Server delivers measurable value.
RAG with live data: combine Duoplane tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Duoplane, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Duoplane tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Duoplane tool call, measure latency, and optimize your agent's performance
Duoplane MCP Tools for LangChain (11)
These 11 tools become available when you connect Duoplane to LangChain via MCP:
get_duoplane_account_metadata
Retrieve metadata for the current Duoplane subdomain
get_order_details
Get detailed information and status for a specific customer order
get_purchase_order_details
Get detailed information for a specific purchase order
get_vendor_profile
Get detailed profile and configuration for a specific vendor
list_active_vendors
List all drop-ship and wholesale vendors registered in your Duoplane account
list_ecommerce_orders
List all customer orders in your Duoplane account
list_purchase_orders
List all purchase orders (POs) sent to vendors
list_synced_products
List all products synchronized across your vendors and storefronts
list_unfulfilled_purchase_orders
Identify purchase orders that are currently awaiting fulfillment by vendors
quick_vendor_inventory_audit
Retrieve a high-level summary of vendor activity and product counts
search_orders_by_reference
Search for orders using a keyword or reference identifier
Example Prompts for Duoplane in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Duoplane immediately.
"List all unfulfilled purchase orders."
"Show me the details for customer order '12345'."
"List all active vendors and their status."
Troubleshooting Duoplane MCP Server with LangChain
Common issues when connecting Duoplane to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDuoplane + LangChain FAQ
Common questions about integrating Duoplane 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 Duoplane 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 Duoplane to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.