Smeetz MCP Server for LangChainGive LangChain instant access to 6 tools to Create Booking, Get Booking, Get Customer, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Smeetz 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 Smeetz MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 6 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({
"smeetz": {
"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 Smeetz, 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 Smeetz MCP Server
Connect your Smeetz account to any AI agent to streamline your booking and commerce workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Smeetz through native MCP adapters. Connect 6 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
- Product Catalog — List all available products in your account and fetch detailed metadata for specific items using their unique IDs.
- Booking Management — Create new bookings for specific products and dates, including ticket details and customer information, or retrieve existing booking statuses.
- Customer Insights — Access your full customer list and retrieve detailed profiles to provide personalized service or analyze buyer behavior.
- Real-time Queries — Get instant information on product availability and booking details without leaving your AI interface.
The Smeetz MCP Server exposes 6 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 6 Smeetz tools available for LangChain
When LangChain connects to Smeetz through Vinkius, your AI agent gets direct access to every tool listed below — spanning ticketing, booking-management, unified-commerce, 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.
Create booking on Smeetz
Requires product ID, date, ticket details, and customer information. Create a new booking for a specific product and date
Get booking on Smeetz
Get detailed information about a specific booking
Get customer on Smeetz
Get detailed information about a specific customer
Get product on Smeetz
Get detailed information about a specific product
List customers on Smeetz
List all customers
List products on Smeetz
List all products available in your account
Connect Smeetz to LangChain via MCP
Follow these steps to wire Smeetz 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 Smeetz MCP Server
LangChain provides unique advantages when paired with Smeetz through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Smeetz 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 Smeetz queries for multi-turn workflows
Smeetz + LangChain Use Cases
Practical scenarios where LangChain combined with the Smeetz MCP Server delivers measurable value.
RAG with live data: combine Smeetz tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Smeetz, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Smeetz tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Smeetz tool call, measure latency, and optimize your agent's performance
Example Prompts for Smeetz in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Smeetz immediately.
"List all products available in my Smeetz account."
"Get the details for booking ID 'BK-55221'."
"Create a booking for product 789 on 2025-01-15 for Alice Brown (alice@email.com)."
Troubleshooting Smeetz MCP Server with LangChain
Common issues when connecting Smeetz to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSmeetz + LangChain FAQ
Common questions about integrating Smeetz 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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