Smeetz MCP Server for Pydantic AIGive Pydantic AI 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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Smeetz through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Smeetz "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())

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

About Smeetz MCP Server

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

Pydantic AI validates every Smeetz tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Smeetz MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Smeetz integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Smeetz connection logic from agent behavior for testable, maintainable code

Smeetz + Pydantic AI Use Cases

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

Type-safe data pipelines: query Smeetz with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Smeetz tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Smeetz and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Smeetz responses and write comprehensive agent tests

Example Prompts for Smeetz in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Smeetz + Pydantic AI FAQ

Common questions about integrating Smeetz MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Smeetz MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.