How to Use the Demio MCP in LlamaIndex

Q: Can LlamaIndex filter which Demio tools my agent uses?

You control access using the allowedtools parameter. Pass only getwebinardetails if you want to restrict the agent from accidentally triggering registrations.

Q: How do I build a RAG app using my Demio registrants in LlamaIndex?

Set includeresources=True when initializing the client. Your agent can pull lists via listwebinarregistrants and synthesize answers against your existing document index.

Index your Demio webinar transcripts and attendee reports directly into LlamaIndex for semantic search.

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Connect Demio MCP to LlamaIndex

Create your Vinkius account to connect Demio to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Demio with LlamaIndex

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Ingest event metrics into LlamaIndex

This MCP Server lets your LlamaIndex pipelines convert raw webinar performance into searchable vectors. You run `get_webinar_report` to pull attendance drops and engagement numbers, then feed that JSON straight into your document store. Query engines can then answer questions about historical performance. Instead of guessing why an event failed, your agent cross-references past session data using `list_webinar_events` to find patterns.

Ground answers in registration data

Building a RAG app over your event attendees requires fresh data. Your script calls `list_webinar_registrants` through the LlamaIndex McpToolSpec and indexes the participant list before a big presentation. Sales teams can then ask the query engine who showed up. The agent retrieves the specific context from `get_session_details` rather than hallucinating names.

Search schedules via MCP Server tools

Finding the right upcoming presentation is a text-matching problem. Your agent uses `search_webinars_by_name` to locate specific topics, then pulls the exact dates with `list_webinar_sessions`. You combine this live API access with your internal company wikis. The resulting index knows both what your company sells and exactly when the next product demo happens.

Setup guide

Set up Demio MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Demio MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Demio tools.",
)
response = await agent.run("List recent Demio data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Demio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Demio MCP in LlamaIndex

Install llama-index-tools-mcp via pip. Create a BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and await to_tool_list_async().

You control access using the allowed_tools parameter. Pass only get_webinar_details if you want to restrict the agent from accidentally triggering registrations.

Not automatically. You must explicitly ingest the output of get_webinar_report into your vector store if you want to query it later without hitting the API again.

Set include_resources=True when initializing the client. Your agent can pull lists via list_webinar_registrants and synthesize answers against your existing document index.

Vinkius processes your participant names and emails in a Zero-trust Sandbox. The ephemeral environment vanishes after execution. You control where the final vector embeddings live.

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