How to Use the Livestorm MCP in Mastra AI

Q: Are Livestorm analytics accessible in Mastra AI?

Yes, you can pull data from listanalytics into your workflow context. This allows you to build automated reports or alerts based on event success.

Q: How do I add human approval for Livestorm actions?

Use the requireToolApproval setting in your Mastra client. This forces a human check before the agent executes actions like sendreplay or createevent.

Build complex webinar workflows in Mastra AI with built-in retries and state management.

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Connect Livestorm MCP to Mastra AI

Create your Vinkius account to connect Livestorm to Mastra AI 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 Livestorm with Mastra AI

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Mastra AI Webinar Automation

Use `create_event` and `create_registration` inside your Mastra workflows. If a network call fails, the framework handles the retry automatically. This keeps your webinar operations running without constant supervision. Define the steps once and let the agent execute the sequence.

Data-Driven Decisions in Mastra AI

Pull insights using `list_analytics` and `list_attendees` to trigger conditional logic. If attendance drops, have your agent adjust the follow-up email strategy. Your workflow engine manages the branching based on real-time data. It turns static reports into active management signals.

Workspace Management

Query `list_webinar_rooms` to ensure your account structure remains organized. Your agent can verify room availability before scheduling new events. It removes the guesswork from your scaling plan. You define the constraints and the agent follows them.

Setup guide

Set up Livestorm MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Livestorm tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "livestorm-mcp-client",
  servers: {
    "livestorm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Livestorm Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Livestorm tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Livestorm transactions"
);
console.log(result.text);

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Common questions about Livestorm MCP in Mastra AI

Initialize the MCP client in your Mastra agent configuration. Map the tools to your agent's capabilities and add them to your workflow steps.

Yes. You can build a workflow that validates user input and calls `create_registration`. It handles the entire lifecycle from entry to confirmation.

Yes, you can pull data from `list_analytics` into your workflow context. This allows you to build automated reports or alerts based on event success.

Use the `requireToolApproval` setting in your Mastra client. This forces a human check before the agent executes actions like `send_replay` or `create_event`.

The server only exposes the registration records you define. We recommend using scoped credentials to limit what the agent can access regarding attendee emails.

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