ON24 Virtual Events 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 ON24 Virtual Events 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 ON24 Virtual Events. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in ON24 Virtual Events?"
)
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 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.
LlamaIndex agents combine ON24 Virtual Events 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 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 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 ON24 Virtual Events to LlamaIndex via MCP
Follow these steps to integrate the ON24 Virtual Events 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 ON24 Virtual Events
Why Use LlamaIndex with the ON24 Virtual Events MCP Server
LlamaIndex provides unique advantages when paired with ON24 Virtual Events through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ON24 Virtual Events tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ON24 Virtual Events tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ON24 Virtual Events, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ON24 Virtual Events tools were called, what data was returned, and how it influenced the final answer
ON24 Virtual Events + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ON24 Virtual Events MCP Server delivers measurable value.
Hybrid search: combine ON24 Virtual Events real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ON24 Virtual Events 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 ON24 Virtual Events for fresh data
Analytical workflows: chain ON24 Virtual Events queries with LlamaIndex's data connectors to build multi-source analytical reports
ON24 Virtual Events MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect ON24 Virtual Events to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ON24 Virtual Events to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpON24 Virtual Events + LlamaIndex FAQ
Common questions about integrating ON24 Virtual Events 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
