How do I check if tickets are available for a specific date?

First, use `list_event_performances` to get the performance ID for your target date, then use `check_ticket_availability` with that ID to see current stock.

What is required to confirm an order?

You typically need to create a reservation first using `create_ticket_reservation`, then provide the resulting reservation data to the `confirm_ticket_order` tool.

Where do I find my API Key?

Log in to your Line-Up dashboard and navigate to Settings > API to generate and copy your Secret API Key.

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

Name: Line-Up
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Line-Up through Vinkius, pass the Edge URL in the `mcps` parameter and every Line-Up tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Line-Up Specialist",
    goal="Help users interact with Line-Up effectively",
    backstory=(
        "You are an expert at leveraging Line-Up tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Line-Up "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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 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.

When paired with CrewAI, Line-Up becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Line-Up tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Line-Up

Why Use CrewAI with the Line-Up MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Line-Up through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Line-Up + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Line-Up for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Line-Up, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Line-Up tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Line-Up against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Line-Up MCP Tools for CrewAI (10)

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

check_ticket_availability

Check ticket types and availability for a performance

confirm_ticket_order

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

create_ticket_reservation

Requires a JSON body. Reserve tickets temporarily

get_customer_profile

Get details for a specific customer

get_event_details

Get details for a specific event

get_order_details

Get details for a specific order

list_account_orders

List all historical orders (Admin)

list_available_events

List all events available for booking

list_event_performances

List specific dates and times (performances) for an event

list_ticket_customers

List all customers in the database (Admin)

Example Prompts for Line-Up in CrewAI

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

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

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

"Show the 5 most recent confirmed orders."

Troubleshooting Line-Up MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Line-Up + CrewAI FAQ

Common questions about integrating Line-Up MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.