How to Use the Bizzabo MCP in Mastra AI

Q: How do I register the Bizzabo MCP Server tools in Mastra AI?

Install @mastra/mcp and instantiate a new MCPClient pointing to your Vinkius HTTP URL. Call listTools on that client and spread those tools directly into your Mastra Agent configuration. The framework automatically resolves the tool schemas and makes them available for your workflows.

Q: Can Mastra AI handle human approval before querying Bizzabo?

Yes, you can use the requireToolApproval modifier on sensitive actions like viewing private contact lists. This pauses the workflow execution and sends a payload to your admin interface, requiring manual confirmation before the agent can access Bizzabo records.

Build self-healing Bizzabo workflows in Mastra AI with automatic retries and conditional branching.

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Connect Bizzabo MCP to Mastra AI

Create your Vinkius account to connect Bizzabo 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 Bizzabo with Mastra AI

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Perplexity

Multi-step event workflows with Mastra AI

`list_events` acts as the entry point for complex, multi-stage Bizzabo event audits managed by your Mastra AI workflows. If a network call fails, the framework automatically triggers exponential backoff retries to guarantee your event syncs finish. You can set up conditional branches in Mastra AI that execute different logic based on what the Bizzabo tool returns. For example, if a specific event has zero active sessions, the workflow branches to notify your team instead of running empty reports.

Automated registration auditing via MCP Server

`list_registrations` and `list_registration_types` run on a schedule to verify Bizzabo ticket sales against your target quotas. The Mastra AI engine processes these lists, compares them to your database, and flags discrepancies instantly. This setup runs headless on any cloud provider with a single-command deploy. You get a reliable Mastra AI background worker that monitors your Bizzabo ticket tiers without requiring manual oversight or custom cron scripts.

Interactive session management

`get_session` retrieves specific Bizzabo timeline details whenever your Mastra AI workflow detects a scheduling conflict. By coupling this tool with Mastra AI's human-in-the-loop approvals, your system flags overlapping slots and waits for a coordinator to click approve before making changes. This structure prevents automated agents from making rogue modifications to your live Bizzabo schedule. You maintain absolute control over your event agenda while letting the Mastra AI agent handle the tedious data gathering.

Setup guide

Set up Bizzabo 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 Bizzabo 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: "bizzabo-mcp-client",
  servers: {
    "bizzabo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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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 Bizzabo. 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 Bizzabo MCP in Mastra AI

Install `@mastra/mcp` and instantiate a new `MCPClient` pointing to your Vinkius HTTP URL. Call `listTools` on that client and spread those tools directly into your Mastra Agent configuration. The framework automatically resolves the tool schemas and makes them available for your workflows.

Yes, you can use the `requireToolApproval` modifier on sensitive actions like viewing private contact lists. This pauses the workflow execution and sends a payload to your admin interface, requiring manual confirmation before the agent can access Bizzabo records.

The client automatically detects the transport type, supporting both Streamable HTTP and SSE. For most cloud deployments, the default HTTP transport provided by Vinkius offers the lowest latency and easiest configuration.

You can deploy your entire Mastra project to any major cloud provider using their CLI. Since the Bizzabo MCP connection is managed by Vinkius, your deployed agent only needs the environment variable containing your Vinkius endpoint token to function.

All contact records, ticket types, and registration details are processed inside isolated, ephemeral memory spaces. Vinkius executes the tool calls in a zero-trust sandbox, ensuring that no attendee email addresses or phone numbers are cached or exposed to external networks.

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