LangChainFramework

Smeetz MCP Server

Bring Ticketing
to LangChain

Name: Smeetz MCP Server
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

Learn how to connect Smeetz to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create BookingGet BookingGet CustomerGet ProductList CustomersList Products

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Smeetz MCP Server?

Connect your Smeetz account to any AI agent to streamline your booking and commerce workflows through natural conversation.

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.

How it works

Subscribe to this server
Enter your Smeetz API Key
Start managing your commerce operations from Claude, Cursor, or any MCP-compatible client

Who is this for?

Operations Managers — quickly check product details and booking statuses without navigating the Smeetz dashboard.
Customer Support Teams — retrieve customer profiles and booking information instantly to resolve inquiries faster.
Sales Teams — create bookings on the fly during customer interactions.

Built-in capabilities (6)

create_booking

Requires product ID, date, ticket details, and customer information. Create a new booking for a specific product and date

get_booking

Get detailed information about a specific booking

get_customer

Get detailed information about a specific customer

get_product

Get detailed information about a specific product

list_customers

List all customers

list_products

List all products available in your account

Why LangChain?

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.

—
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

See it in action

Smeetz in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Smeetz and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Smeetz to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Smeetz in LangChain

The Smeetz 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Smeetz details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Smeetz for LangChain

Every tool call from LangChain to the Smeetz MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I retrieve full metadata for a specific product?

Yes, use the get_product tool with the product ID to get all technical and commercial details associated with that item.

Is it possible to automate new bookings through the AI?

Absolutely. The create_booking tool allows you to specify the product, date, ticket types, and customer information to generate a booking instantly.

How can I access customer information?

You can use list_customers to browse your customer database or get_customer with a specific ID to see a detailed profile and history.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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