How to Use the Line-Up MCP in Pydantic AI

Q: How do I initialize the Line-Up toolset in Pydantic AI?

Install the slim package with MCP support and use the MCPToolset class. Point it to your Line-Up server URL and pass the toolset directly to your agent's constructor.

Prevent failed bookings with type-safe ticket reservations using Pydantic AI.

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Connect Line-Up MCP to Pydantic AI

Create your Vinkius account to connect Line-Up to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Line-Up with Pydantic AI

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Type-Safe Booking Validation with Pydantic AI

Stop silent ticketing API failures in their tracks. When your agent executes `create_ticket_reservation`, this MCP server validates every field against strict Pydantic models before the request ever hits the network. If the booking payload is missing a required parameter, Pydantic AI raises a loud validation error. This keeps your ticket reservation logic perfectly clean and predictable.

Guaranteed Schema Enforcement for Event Data

Fetching event details with Pydantic AI shouldn't be a guessing game. When you call `get_event_details` or `list_available_events`, the returned JSON is parsed and structured automatically. Your agent won't hallucinate event dates or ticket prices because the schema is strictly enforced. It ensures your Pydantic AI agent always works with clean, structured Python objects.

Safe Customer Record Audits

Verify customer profiles through this MCP tool without worrying about malformed data. The agent can pull records using `get_customer_profile` and list historical purchases with `list_account_orders`. Each order retrieved via `get_order_details` is checked against strict type constraints. This makes auditing past transactions safe and highly reliable for Pydantic AI users.

Setup guide

Set up Line-Up MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "line-up-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Line-Up tools.",
)

result = await agent.run("List recent Line-Up transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Line-Up. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Line-Up MCP in Pydantic AI

Install the slim package with MCP support and use the `MCPToolset` class. Point it to your Line-Up server URL and pass the toolset directly to your agent's constructor.

Yes, the toolset runs natively within Pydantic AI's async runtime. This keeps your reservation loops fast when handling concurrent `confirm_ticket_order` calls.

Pydantic AI will fail immediately with a validation error rather than passing corrupt data to your agent. This prevents the agent from making decisions based on bad ticketing data.

You can use either Streamable HTTP or SSE transports to connect to the external Line-Up MCP server, depending on your network architecture.

All API calls pass through a secure, ephemeral V8 isolate that acts as a zero-trust proxy. Your credentials and customer profiles are never logged or stored, maintaining strict compliance.

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