Smeetz MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Booking, Get Booking, Get Customer, and more

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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Smeetz as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Smeetz MCP Server for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

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 Smeetz. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Smeetz?"
    )
    print(response)

asyncio.run(main())

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About Smeetz MCP Server

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

LlamaIndex agents combine Smeetz tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Create booking on Smeetz

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

get

Get booking on Smeetz

Get detailed information about a specific booking

get

Get customer on Smeetz

Get detailed information about a specific customer

get

Get product on Smeetz

Get detailed information about a specific product

list

List customers on Smeetz

List all customers

list

List products on Smeetz

List all products available in your account

Connect Smeetz to LlamaIndex via MCP

Follow these steps to wire Smeetz into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Smeetz

Why Use LlamaIndex with the Smeetz MCP Server

LlamaIndex provides unique advantages when paired with Smeetz through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Smeetz tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Smeetz tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Smeetz, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Smeetz tools were called, what data was returned, and how it influenced the final answer

Smeetz + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Smeetz MCP Server delivers measurable value.

Hybrid search: combine Smeetz real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Smeetz 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 Smeetz for fresh data

Analytical workflows: chain Smeetz queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Smeetz in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Smeetz to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Smeetz + LlamaIndex FAQ

Common questions about integrating Smeetz MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Smeetz tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.