How to Use the Maileon MCP in Mastra AI

Q: Can I use Mastra AI to manage my Maileon contact list?

You can. By using listaccountcontacts and deleteaccountcontact, your agents can prune inactive users or sync records between your CRM and Maileon.

Q: Is it possible to chain Maileon tools in a Mastra AI workflow?

It is. You can pass the output of listemailmailings directly into getmailingdetails. This allows your Mastra AI agents to perform deep analysis on specific campaigns.

Q: How do I implement human-in-the-loop for Maileon in Mastra AI?

Use the requireToolApproval setting in your Mastra AI client. This forces the agent to pause before calling dispatchemailmailing, letting you confirm the action manually.

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Create your Vinkius account to connect Maileon 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 Maileon with Mastra AI

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Conditional contact workflows in Mastra AI

Integrate `get_contact_by_email` into your agents to verify user status before taking action. Mastra AI can branch logic based on whether a contact exists. If the contact is missing, trigger `create_new_contact` to add them. This ensures your mailing list stays current without manual intervention.

Automated mailing lifecycle in Mastra AI

Use `list_email_mailings` to monitor your draft campaigns. Your Mastra AI agent checks for mailings in a 'ready' state before triggering `dispatch_email_mailing`. This setup allows you to build multi-step processes where agents approve and send content. It handles the sequence of events automatically.

Error-resilient reporting in Mastra AI

Implement `get_mailing_statistics` within your agent workflows to track performance. Mastra AI retries the call if the network blips, ensuring you never miss a data point. Combine this with `list_unsubscription_events` to build an automated compliance loop. Your agents stay informed about audience shifts at all times.

Setup guide

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

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

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

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Common questions about Maileon MCP in Mastra AI

Mastra AI supports automatic retries and exponential backoff. If an API call to the Maileon MCP server fails, the agent framework manages the retry logic for you.

You can. By using `list_account_contacts` and `delete_account_contact`, your agents can prune inactive users or sync records between your CRM and Maileon.

It is. You can pass the output of `list_email_mailings` directly into `get_mailing_details`. This allows your Mastra AI agents to perform deep analysis on specific campaigns.

Use the `requireToolApproval` setting in your Mastra AI client. This forces the agent to pause before calling `dispatch_email_mailing`, letting you confirm the action manually.

The server uses isolated memory for every request. It only accesses the contact email addresses and mailing metadata you explicitly query, ensuring no unauthorized data leaks into your agent's history.

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