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How to Use the Livestorm MCP in LlamaIndex

Index your Livestorm webinar data directly into LlamaIndex vector stores for instant semantic search.

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LlamaIndex

Connect Livestorm MCP to LlamaIndex

Create your Vinkius account to connect Livestorm 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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Build a searchable index of your webinars

Your agent queries `list_events` to retrieve every scheduled session in your account. It pulls full metadata using `get_event` and indexes that information directly into your local vector database. Once indexed, you can ask your agent questions about past schedules or event descriptions. It finds the answers using semantic search, grounding its responses in real API data instead of guessing.

Analyze attendee trends with LlamaIndex RAG

Your agent calls `list_analytics` to get registration counts and attendance rates. It combines this with raw attendee lists from `list_attendees` to map out user engagement patterns. You can query this indexed data to find out which webinars had the highest retention. The agent reads the parsed API outputs directly, giving you clear insights without manual CSV exports.

Verify registrations using live data search

Your agent uses `list_registrations` to pull attendee details and verify active registrations. It cross-references them with your vector index to flag anomalies. This setup prevents duplicate entries and verifies active leads. Because the agent pulls live data on demand, your search results are always accurate to the second.

Setup guide

Set up Livestorm MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Livestorm tools.",
)
response = await agent.run("List recent Livestorm data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Livestorm. 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.

Why Choose Vinkius

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Common questions about Livestorm MCP in LlamaIndex

Install the LlamaIndex MCP tool package and initialize the basic client with your Vinkius URL. Convert the server tools into a tool spec list, then pass them directly to your FunctionAgent.
Only if you explicitly configure a vector store to index it. By default, calling tools like `list_events` fetches live data directly from the API without local caching.
Yes. Your agent can use `create_event` based on templates or notes it finds in your index. We recommend adding a validation step before the agent executes the creation tool to avoid duplicate events.
You can use the built-in allowed tools filter when defining your tool spec. This lets you expose read-only tools like `list_webinar_rooms` while blocking write tools if needed.
All registration details, including emails retrieved via `list_registrations`, travel through encrypted HTTPS connections. Vinkius runs the server in an ephemeral container, meaning no PII is stored or logged on our infrastructure.

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