How to Use the Venue MCP in Mastra AI

Q: What happens when I try to list all events using Venue and Mastra AI?

The workflow can reliably pull all live event records via listevents. If the initial connection times out, Mastra AI will automatically retry until it successfully collects the complete set of data.

Q: Can I get speaker details and analytics using Venue and Mastra AI?

Yes. You can first list all speakers with listspeakers and then use geteventanalytics in a subsequent, dependent step of your workflow to tie the two data sets together.

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Connect Venue MCP to Mastra AI

Create your Vinkius account to connect Venue 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 Venue with Mastra AI

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Automate Event Setup and Contracts

Start a new booking by invoking `create_event`. If the initial payment check fails, your workflow can automatically retry using an alternative method. The Mastra AI framework handles this complex branching logic for you. Furthermore, if successful, you can immediately register primary staff through `create_speaker` as part of that single, reliable transaction.

Deeply Query Event Schedules and Details

Need a full rundown? Use the `get_event_details` tool to pull every piece of information about an event. You can then chain this call with `list_event_sessions` to get all associated meeting times. The Mastra AI workflow ensures that if one API endpoint is slow, the whole process doesn't crash; it waits and retries until the data comes through.

Compile Comprehensive Attendee Reports

The `list_event_registrations` tool gathers all attendee records for a given event. This allows your workflow to check off every person who signed up. You can combine this list with the output of `get_event_analytics` to create a single, reliable report on attendance rates and engagement.

Setup guide

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

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

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

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Common questions about Venue MCP in Mastra AI

Mastra AI's workflow engine allows you to build conditional branches. For example, if the `create_event` call fails due to capacity limits, it automatically triggers a notification step instead of just stopping.

The workflow can reliably pull all live event records via `list_events`. If the initial connection times out, Mastra AI will automatically retry until it successfully collects the complete set of data.

Yes. You can first list all speakers with `list_speakers` and then use `get_event_analytics` in a subsequent, dependent step of your workflow to tie the two data sets together.

It does. The platform supports automatic retries with exponential backoff. This means if an API call fails transiently, it doesn't just fail; it waits and tries again until it gets a successful response.

This server touches booking and contract details. Be mindful of handling client contracts or payment-related information within your complex workflows.

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