Demio 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 Demio 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 Demio. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Demio?"
)
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 Demio MCP Server
Integrate Demio, the modern webinar platform built for marketing, directly into your AI workflow. Manage your upcoming and past webinars, track registration lists, monitor live and scheduled sessions, and register new users using natural language.
LlamaIndex agents combine Demio 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
- Webinar Oversight — List and retrieve detailed settings for all your webinars and check their current status.
- Registrant Tracking — List and search through people who have registered for your webinar events.
- Session Monitoring — Track scheduled sessions, access attendee lists, and monitor overall session progress.
- User Registration — Register new users for specific webinar sessions directly via chat.
The Demio 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 Demio to LlamaIndex via MCP
Follow these steps to integrate the Demio 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 Demio
Why Use LlamaIndex with the Demio MCP Server
LlamaIndex provides unique advantages when paired with Demio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Demio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Demio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Demio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Demio tools were called, what data was returned, and how it influenced the final answer
Demio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Demio MCP Server delivers measurable value.
Hybrid search: combine Demio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Demio 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 Demio for fresh data
Analytical workflows: chain Demio queries with LlamaIndex's data connectors to build multi-source analytical reports
Demio MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Demio to LlamaIndex via MCP:
get_account_metadata
Retrieve metadata and limits for your Demio account
get_session_details
Get specific details for a webinar session, including attendees
get_webinar_details
Get detailed settings and information for a specific webinar
get_webinar_report
Retrieve performance metrics and attendance reports for a webinar
list_upcoming_webinars
Identify webinars scheduled for the future
list_webinar_events
List all upcoming and past webinars in your Demio account
list_webinar_registrants
List all people who have registered for a specific webinar
list_webinar_sessions
List all scheduled sessions for a specific webinar event
register_user_for_webinar
Register a new user for a specific webinar session
search_webinars_by_name
Search for a webinar using a name keyword
Example Prompts for Demio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Demio immediately.
"List all my upcoming webinars."
"Who is registered for the 'Product Demo' webinar?"
"Show me the report for my last webinar session."
Troubleshooting Demio MCP Server with LlamaIndex
Common issues when connecting Demio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDemio + LlamaIndex FAQ
Common questions about integrating Demio 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 Demio 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 Demio to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
