How to Use the Aventri MCP in Mastra AI

Q: Can I use Aventri tools to automate speaker registration in Mastra AI?

Absolutely. Use createspeaker within your workflow to register new speakers as they are onboarded. The agent automates the entire entry process.

Build reliable Aventri workflows with Mastra AI that handle errors and branch logic automatically.

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…and any MCP-compatible client

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Connect Aventri MCP to Mastra AI

Create your Vinkius account to connect Aventri 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 Aventri with Mastra AI

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Claude

Perplexity

Complex Workflow Automation

Define multi-step sequences for event registrations using `add_pre_approved` and `add_pre_load`. If a step fails, your Mastra agent retries the call with exponential backoff. This keeps your event pipeline moving without manual intervention. You define the logic, and the agent ensures the Aventri tools execute in the correct order.

Intelligent Event Cloning

Trigger `clone_event` as part of a larger operational workflow. Your agent checks for existing event conflicts before executing the copy operation. This adds a layer of safety to your process. The agent verifies the event status via `search_events` before it creates duplicates in your account.

Robust Contact Handling

Manage your CRM records with `delete_contact` and `update_contact` inside your agent workflows. Your code handles success and failure branches for every API interaction. This ensures your contact list stays clean. The agent logic prevents duplicate records by checking existing entries before attempting to create new ones.

Setup guide

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

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

const result = await agent.generate(
  "List recent Aventri 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 Aventri. 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 Aventri MCP in Mastra AI

Mastra AI uses built-in retry logic for every tool call. If the Aventri API hits a rate limit, the agent waits and tries again automatically.

Absolutely. Use `create_speaker` within your workflow to register new speakers as they are onboarded. The agent automates the entire entry process.

The MCP server requires a single endpoint token for authentication. You provide this via your environment variables to keep your credentials out of your codebase.

Yes. You can define conditional paths based on the output of `update_contact`. If the tool returns an error, the agent can notify you or try a different action.

Registration details are strictly scoped to the tools you call. Your agent only accesses the specific attendee records required to complete the current workflow.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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