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Line-Up MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Line-Up "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Line-Up
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High SecurityEnterprise-grade
IAMAccess control
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<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 Line-Up MCP Server

Connect your Line-Up account to any AI agent to automate your event ticketing and booking workflows. This MCP server enables your agent to list active events, check real-time ticket availability for specific performances, and manage customer orders directly from natural language interfaces.

Pydantic AI validates every Line-Up tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

  • Event Discovery — List all available events and retrieve detailed metadata, descriptions, and schedules
  • Inventory Check — Query specific performances to check real-time availability across various ticket categories
  • Reservation Flow — Programmatically create temporary ticket holds and reservations for customers
  • Order Management — Confirm bookings, retrieve order histories, and monitor transaction statuses
  • Customer CRM — List and inspect customer profiles and their historical booking data
  • Operational Auditing — Access comprehensive logs of all confirmed orders within your portal

The Line-Up MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Line-Up to Pydantic AI via MCP

Follow these steps to integrate the Line-Up MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Line-Up with type-safe schemas

Why Use Pydantic AI with the Line-Up MCP Server

Pydantic AI provides unique advantages when paired with Line-Up through the Model Context Protocol.

01

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

02

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

03

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

04

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

Line-Up + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Line-Up MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Line-Up MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Line-Up to Pydantic AI via MCP:

01

check_ticket_availability

Check ticket types and availability for a performance

02

confirm_ticket_order

Requires a JSON body. Finalize a booking and create an order

03

create_ticket_reservation

Requires a JSON body. Reserve tickets temporarily

04

get_customer_profile

Get details for a specific customer

05

get_event_details

Get details for a specific event

06

get_order_details

Get details for a specific order

07

list_account_orders

List all historical orders (Admin)

08

list_available_events

List all events available for booking

09

list_event_performances

List specific dates and times (performances) for an event

10

list_ticket_customers

List all customers in the database (Admin)

Example Prompts for Line-Up in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Line-Up immediately.

01

"List all active events in my Line-Up account."

02

"Check ticket availability for performance ID 'perf-123'."

03

"Show the 5 most recent confirmed orders."

Troubleshooting Line-Up MCP Server with Pydantic AI

Common issues when connecting Line-Up to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Line-Up + Pydantic AI FAQ

Common questions about integrating Line-Up MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Line-Up to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.