Eventzilla 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 Eventzilla 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 Eventzilla. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Eventzilla?"
)
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 Eventzilla MCP Server
Integrate Eventzilla, the leading event registration and marketing platform, directly into your AI workflow. Manage your upcoming events and classes, track registered attendees and ticket transactions, monitor performance metrics and discount code usage, and oversee your entire event operation using natural language.
LlamaIndex agents combine Eventzilla 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 Oversight — List and retrieve detailed information, dates, and status for all your Eventzilla events and webinars.
- Registration Intelligence — Monitor registered attendees, resolving names, emails, and ticket types across your events.
- Financial Management — Access and monitor ticket orders and transactions, tracking gross sales and payment statuses in real-time.
- Event Auditing — Retrieve high-level summaries of registration volume, check-in rates, and organizational event health instantly.
The Eventzilla 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 Eventzilla to LlamaIndex via MCP
Follow these steps to integrate the Eventzilla 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 Eventzilla
Why Use LlamaIndex with the Eventzilla MCP Server
LlamaIndex provides unique advantages when paired with Eventzilla through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Eventzilla tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Eventzilla tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Eventzilla, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Eventzilla tools were called, what data was returned, and how it influenced the final answer
Eventzilla + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Eventzilla MCP Server delivers measurable value.
Hybrid search: combine Eventzilla real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Eventzilla 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 Eventzilla for fresh data
Analytical workflows: chain Eventzilla queries with LlamaIndex's data connectors to build multi-source analytical reports
Eventzilla MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Eventzilla to LlamaIndex via MCP:
get_event_detailed_data
Get detailed settings and information for a specific event
get_event_performance_summary
Get a summary of performance metrics for a specific event
get_eventzilla_account_metadata
Retrieve metadata and limits for your Eventzilla account
list_all_events
List all events managed in your Eventzilla account
list_currently_live_events
Identify events that are currently taking place or open for registration
list_event_attendees
List all registered attendees for a specific event
list_event_discount_codes
List all active and inactive discount codes for a specific event
list_event_ticket_orders
List all ticket orders and transactions for a specific event
list_future_scheduled_events
Identify events that are scheduled for a future date
quick_event_volume_audit
Retrieve a high-level summary of attendees and orders
Example Prompts for Eventzilla in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Eventzilla immediately.
"List all active event registrations."
"Show me the attendee list for 'Python Workshop'."
"Check active discount codes for event ID '12345'."
Troubleshooting Eventzilla MCP Server with LlamaIndex
Common issues when connecting Eventzilla to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEventzilla + LlamaIndex FAQ
Common questions about integrating Eventzilla 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 Eventzilla 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 Eventzilla to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
