Compatible with every major AI agent and IDE
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)
Requires product ID, date, ticket details, and customer information. Create a new booking for a specific product and date
Get detailed information about a specific booking
Get detailed information about a specific customer
Get detailed information about a specific product
List all customers
List all products available in your account
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Smeetz tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Smeetz tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Smeetz, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Smeetz tools were called, what data was returned, and how it influenced the final answer
Smeetz in LlamaIndex
Smeetz and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Smeetz to LlamaIndex 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.
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 |
Why teams choose Vinkius for Smeetz in LlamaIndex
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 LlamaIndex 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.

* 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
How Vinkius secures
Smeetz for LlamaIndex
Every tool call from LlamaIndex to the Smeetz MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 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.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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