Can I check the registration count for a specific event?

Yes! Use the `list_registrations` tool with the Event ID. Your agent will fetch the list of registrants, allowing you to see the total volume directly.

How do I see the schedule for my upcoming event?

Simply ask the agent to `list_sessions` and provide the Event ID. It will retrieve all scheduled sessions, showing titles and timings.

Does the integration allow creating new events?

Currently, the toolset is focused on querying and monitoring (Read-Only). You can list and inspect events, registrations, and contacts, but creating new events must be done through the Bizzabo platform directly for full configuration control.

Bizzabo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Bizzabo
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bizzabo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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 Bizzabo. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Bizzabo?"
    )
    print(response)

asyncio.run(main())

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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 Bizzabo MCP Server

Connect your Bizzabo account to any AI agent and orchestrate your events, registrations, and attendee workflows through natural conversation.

LlamaIndex agents combine Bizzabo 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 for all your upcoming and past events.
Registration Tracking — Query and monitor event registrations to track ticket sales and attendee growth.
Contact Management — Access your directory of attendees, speakers, and exhibitors across all events.
Session & Speaker Coordination — Retrieve schedules and speaker details to ensure your event runs smoothly.
Ticket Type Discovery — List available registration types and form properties for specific events.

The Bizzabo 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 Bizzabo to LlamaIndex via MCP

Follow these steps to integrate the Bizzabo 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 Bizzabo

Why Use LlamaIndex with the Bizzabo MCP Server

LlamaIndex provides unique advantages when paired with Bizzabo through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Bizzabo tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Bizzabo tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Bizzabo, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Bizzabo tools were called, what data was returned, and how it influenced the final answer

Bizzabo + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Bizzabo MCP Server delivers measurable value.

Hybrid search: combine Bizzabo real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Bizzabo 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 Bizzabo for fresh data

Analytical workflows: chain Bizzabo queries with LlamaIndex's data connectors to build multi-source analytical reports

Bizzabo MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Bizzabo to LlamaIndex via MCP:

get_contact

Get specific contact details

get_event

Get specific event details

get_registration

Get specific registration details

get_session

Get details of a specific session

list_contacts

List all contacts across events

list_events

List all Bizzabo events

list_registration_types

List ticket types for an event

list_registrations

List registrants for a specific event

list_sessions

List sessions for an event

list_speakers

List speakers for an event

Example Prompts for Bizzabo in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Bizzabo immediately.

"List all my upcoming events in Bizzabo."

"Show the sessions for event ev_1."

"Find the registration details for ID reg_992."

Troubleshooting Bizzabo MCP Server with LlamaIndex

Common issues when connecting Bizzabo to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Bizzabo + LlamaIndex FAQ

Common questions about integrating Bizzabo MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Bizzabo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.