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How to Use the Joomag MCP in Mastra AI

Build resilient backend workflows for Joomag that handle API failures and retries automatically with Mastra AI.

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…and any MCP-compatible client

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Mastra AI

Connect Joomag MCP to Mastra AI

Create your Vinkius account to connect Joomag 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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Automate Content and Account Audits

Create a Mastra AI workflow that runs on a schedule. The agent can use `list_publications` to get all publications, then loop through each one and call `get_publication` to check for correct branding or access settings. If a setting is wrong, the workflow branches to a notification step. Mastra's engine handles the state and logic, so you just define the steps. You can also use `get_account` as a simple health check to start the workflow.

Reliably Sync Contacts and Subscriptions

Build a job to keep your systems in sync. The agent uses `list_contacts` and `list_subscriptions` to pull audience data from Joomag. The workflow can then compare this against another system and flag discrepancies for review. Mastra AI's built-in exponential backoff means the sync completes even if the Joomag API has a temporary outage. You don't have to write a single line of retry code.

Your Mastra AI Agent and this MCP Server

This is how you build background processes that just work. Set up an agent to generate weekly reports by calling `list_analytics`. If the API call fails, the workflow's retry logic kicks in automatically. You can also chain tools together. For example, use `list_collections` to find a specific group of publications, then use `list_issues` to get the history for each one. Mastra's workflow engine makes these multi-step operations straightforward.

Setup guide

Set up Joomag 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Joomag tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Joomag. 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 Joomag MCP in Mastra AI

Instantiate the Mastra MCP Client with your unique server URL from Vinkius. Your agent can then see and use all the available Joomag tools, like `list_campaigns` or `list_publications`.
Absolutely. A workflow can call `list_publications`, then loop through the results. Inside the loop, another step would call `list_issues` for each publication ID to get a complete inventory of all published content.
Mastra AI handles it for you. Its workflow engine has automatic retries with exponential backoff built in. Your job will wait and try again without you needing to configure any failure logic.
Yes, Mastra AI supports human-in-the-loop steps. You could build a workflow where an agent uses `list_contacts` to find a segment, but requires your approval before it proceeds to another step.
Your Mastra agent handles data like publication metadata, contact lists with names and emails, and subscription details. The Vinkius MCP Server isolates each API call in a dedicated sandbox. Your authentication token is the only thing connecting the request back to your account.

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