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How to Use the Make (Workflow Automation) MCP in Mastra AI

Automate complex branching workflows in Mastra AI by controlling your Make (Workflow Automation) scenarios directly from your agents.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Make (Workflow Automation) MCP to Mastra AI

Create your Vinkius account to connect Make (Workflow Automation) 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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Trigger conditional scenario logic

Build agents that decide which workflow to run based on incoming data. Your agent calls `get_scenario` to understand the current setup before deciding on the next step in the sequence. This allows for complex branching where your agent can inspect scenario details before firing them. It handles the decision-making so you don't have to write hard-coded logic.

Automated error recovery loops

Agents can now watch for failures and act. If a scenario fails, the agent uses `list_scenario_logs` to diagnose the issue and can then trigger a retry or notify the right team. It brings a self-healing layer to your automations. Your agents handle the repetitive troubleshooting that normally eats up your time.

Granular control of data stores

Keep your agent's memory in sync with your automation platform. Use `list_data_stores` to read and update the shared variables that your scenarios rely on. This ensures your agents and your workflows are looking at the same source of truth. No more mismatched state or stale data errors.

Setup guide

Set up Make (Workflow Automation) 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 Make (Workflow Automation) 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: "make-workflow-automation-mcp-client",
  servers: {
    "make-workflow-automation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Make (Workflow Automation) 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 Make. 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 Make (Workflow Automation) MCP in Mastra AI

Initialize the MCP client in your Mastra project and spread the tools into your agent's tool array. The agent will then automatically suggest using them when the task requires workflow intervention.
You can write a workflow in Mastra that calls `list_scenario_logs` to check for failures. If it finds one, it can trigger the appropriate logic to resolve the issue.
You can use `requireToolApproval` to force a human check before any action is taken. This keeps you in the loop for sensitive tasks.
Call `list_organizations` to get your available IDs. You can then pass the correct `org_id` to your other tool calls to keep your agent focused on the right workspace.
The server uses ephemeral connections that only exist while the agent is running. Your scenario configuration and logs are never stored on our side.

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