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ON24 Virtual Events MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ON24 Virtual Events through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 ON24 Virtual Events "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ON24 Virtual Events?"
    )
    print(result.data)

asyncio.run(main())
ON24 Virtual Events
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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 ON24 Virtual Events MCP Server

Connect your ON24 account to your AI agent and gain deep insights into your webinar and virtual event performance through natural conversation and real-time data access.

Pydantic AI validates every ON24 Virtual Events 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 all upcoming and past webinars and retrieve detailed scheduling and configuration metadata.
  • Registrant Tracking — Access complete lists of individuals who have registered for specific events and check their profile details.
  • Attendee Analytics — Monitor who actually attended your events and retrieve granular engagement and viewing time metrics.
  • Engagement Intelligence — Access results from event surveys and polls to understand audience sentiment.
  • Q&A Monitoring — List all questions asked by attendees and their respective answers during live sessions.
  • Performance Reporting — Fetch high-level event analytics including total views, conversions, and impact scores.
  • Deep Inspection — Fetch complete metadata for specific events, registrants, or surveys using their unique IDs.

The ON24 Virtual Events 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 ON24 Virtual Events to Pydantic AI via MCP

Follow these steps to integrate the ON24 Virtual Events MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from ON24 Virtual Events with type-safe schemas

Why Use Pydantic AI with the ON24 Virtual Events MCP Server

Pydantic AI provides unique advantages when paired with ON24 Virtual Events through the Model Context Protocol.

01

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

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ON24 Virtual Events integration code

03

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

04

Dependency injection system cleanly separates your ON24 Virtual Events connection logic from agent behavior for testable, maintainable code

ON24 Virtual Events + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ON24 Virtual Events MCP Server delivers measurable value.

01

Type-safe data pipelines: query ON24 Virtual Events with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple ON24 Virtual Events tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query ON24 Virtual Events and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock ON24 Virtual Events responses and write comprehensive agent tests

ON24 Virtual Events MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect ON24 Virtual Events to Pydantic AI via MCP:

01

get_attendee_engagement

Get attendee engagement stats

02

get_event_details

Get specific event info

03

get_event_qa_log

Get event Q&A log

04

get_event_summary_analytics

Get event performance summary

05

get_registrant_details

Get registrant info

06

get_survey_responses

Get survey response data

07

list_event_attendees

List event attendees

08

list_event_registrants

List event registrants

09

list_event_surveys

List event surveys

10

list_virtual_events

List all virtual events

Example Prompts for ON24 Virtual Events in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ON24 Virtual Events immediately.

01

"List all my webinars from last month."

02

"How many people attended the 'Annual Summit' event?"

03

"Show me the survey results for the 'Developer Workshop' webinar."

Troubleshooting ON24 Virtual Events MCP Server with Pydantic AI

Common issues when connecting ON24 Virtual Events to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ON24 Virtual Events + Pydantic AI FAQ

Common questions about integrating ON24 Virtual Events MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ON24 Virtual Events MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect ON24 Virtual Events to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.