How to Use the Audienceful MCP in Mastra AI

Q: Does Mastra AI support human-in-the-loop for Audienceful actions?

Yes, use the requireToolApproval setting in your Mastra AI config. This forces a human to approve any deleteperson or updateperson call before it executes.

Q: Can I use Audienceful tools to retry failed tasks in Mastra AI?

The framework handles retries natively. If a call to triggerautomation fails due to a network glitch, the agent engine will attempt it again based on your retry policy.

Q: How do I view Audienceful logs within Mastra AI?

Run listsendreports and pipe the output into your agent's memory. This lets the agent analyze the success rate of your recent email sends.

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Setup Audienceful with Mastra AI

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Create branching marketing workflows with Mastra AI

Use `list_send_reports` inside a Mastra AI workflow to check campaign performance. If a report shows low engagement, you can trigger a follow-up action. `trigger_automation` allows you to define conditional paths for your subscribers. Your Mastra AI agent handles the logic based on the output of these tools.

Sync subscriber state across your Mastra AI agents

Keep your data accurate by using `update_person` whenever a lead interacts with your workflow. This ensures your records stay current. When a subscriber record is no longer needed, `delete_person` removes them from the Audienceful system. Mastra AI logs these actions automatically for your audit trail.

Extend your marketing reach with custom fields

Define new data points using `create_custom_field` to capture specific user behavior. Mastra AI can then map these fields to your internal database models. View all available fields with `list_custom_fields` to ensure your workflow is targeting the right information. It keeps your automation logic clean and predictable.

Setup guide

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

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

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

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Common questions about Audienceful MCP in Mastra AI

Register the MCP server in your agent configuration. You can then call `create_person` or any other tool as a step in your automated sequence.

Yes, use the `requireToolApproval` setting in your Mastra AI config. This forces a human to approve any `delete_person` or `update_person` call before it executes.

The framework handles retries natively. If a call to `trigger_automation` fails due to a network glitch, the agent engine will attempt it again based on your retry policy.

Run `list_send_reports` and pipe the output into your agent's memory. This lets the agent analyze the success rate of your recent email sends.

The server restricts access to the PII of your subscribers. We use scoped tokens to ensure Mastra AI only touches the email addresses required for your specific workflow.

Use it with your favorite AI tools

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