Line-Up MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Line-Up as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Line-Up. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Line-Up?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Line-Up tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Line-Up MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 10 tools from Line-Up
Why Use LlamaIndex with the Line-Up MCP Server
LlamaIndex provides unique advantages when paired with Line-Up through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Line-Up tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Line-Up tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Line-Up, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Line-Up tools were called, what data was returned, and how it influenced the final answer
Line-Up + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Line-Up MCP Server delivers measurable value.
Hybrid search: combine Line-Up real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Line-Up to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Line-Up for fresh data
Analytical workflows: chain Line-Up queries with LlamaIndex's data connectors to build multi-source analytical reports
Line-Up MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Line-Up to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Line-Up to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLine-Up + LlamaIndex FAQ
Common questions about integrating Line-Up MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Line-Up with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Line-Up to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.