How to Use the Iterable MCP in Mastra AI

Q: Can Mastra AI trigger Iterable workflows?

Yes, you can use listworkflows to identify and manage your automated logic. The agent uses these tools to inspect and coordinate your marketing campaigns programmatically.

Q: Can I use Mastra AI to audit Iterable webhooks?

Absolutely. The listwebhooks tool allows your agent to scan your current integrations. You can write a workflow that flags any missing or broken connections.

Automate your marketing logic with Mastra AI and this Iterable MCP Server for resilient, multi-step workflows.

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Connect Iterable MCP to Mastra AI

Create your Vinkius account to connect Iterable 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 Iterable with Mastra AI

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Build resilient marketing workflows with Mastra AI

Chain together `list_workflows` and `get_campaign` to build automated logic that reacts to your marketing performance. Mastra AI manages the state and retries if an API call hits a rate limit. This is ideal for complex sequences where you need to check campaign status before triggering a follow-up action. Your agents now have the tools to verify the state of your marketing engine before moving forward.

Automated subscriber management for Mastra AI

Use `get_user` and `list_lists` to build agents that handle segmentation automatically. Mastra AI can query subscriber details and organize them into the correct lists based on your criteria. Your agents handle the manual sorting that usually takes hours. It turns static contact lists into dynamic, agent-driven segments.

System-wide integration auditing for Mastra AI

Maintain your infrastructure by using `list_webhooks` and `list_channels` to audit your setup. Mastra AI agents can monitor these endpoints to ensure your data flows are correctly configured. If a webhook fails, your agent detects the issue and alerts your team immediately. It moves your maintenance from reactive to proactive monitoring.

Setup guide

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

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

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

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Common questions about Iterable MCP in Mastra AI

Yes, you can use `list_workflows` to identify and manage your automated logic. The agent uses these tools to inspect and coordinate your marketing campaigns programmatically.

Mastra AI includes built-in retry logic and backoff. When you use this MCP Server, the agent handles the timing of calls to respect the API constraints.

The server uses an isolated sandbox for all operations. It only accesses the specific campaign and user records requested, ensuring your data remains private and scoped.

Absolutely. The `list_webhooks` tool allows your agent to scan your current integrations. You can write a workflow that flags any missing or broken connections.

It touches user email addresses, campaign performance metrics, and template configurations. The server operates in an ephemeral memory space, meaning no data is cached or stored long-term.

Use it with your favorite AI tools

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