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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Bizzabo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bizzabo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Bizzabo "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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 Bizzabo MCP Server

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

Pydantic AI validates every Bizzabo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Bizzabo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Bizzabo MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Bizzabo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Bizzabo connection logic from agent behavior for testable, maintainable code

Bizzabo + Pydantic AI Use Cases

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

Type-safe data pipelines: query Bizzabo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Bizzabo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Bizzabo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Bizzabo responses and write comprehensive agent tests

Bizzabo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bizzabo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bizzabo + Pydantic AI FAQ

Common questions about integrating Bizzabo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Bizzabo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.