ON24 Virtual Events MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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 ON24 Virtual Events integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query ON24 Virtual Events with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ON24 Virtual Events tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ON24 Virtual Events and output structured, schema-compliant notifications
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:
get_attendee_engagement
Get attendee engagement stats
get_event_details
Get specific event info
get_event_qa_log
Get event Q&A log
get_event_summary_analytics
Get event performance summary
get_registrant_details
Get registrant info
get_survey_responses
Get survey response data
list_event_attendees
List event attendees
list_event_registrants
List event registrants
list_event_surveys
List event surveys
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.
"List all my webinars from last month."
"How many people attended the 'Annual Summit' event?"
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiON24 Virtual Events + Pydantic AI FAQ
Common questions about integrating ON24 Virtual Events MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect ON24 Virtual Events 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 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.
