How to Use the Midjourney MCP in Mastra AI

Q: How do I pass Midjourney tasks through Mastra AI human-in-the-loop approval?

Configure requireToolApproval on the Midjourney tools in your Mastra AI agent setup. The agent will generate the task ID, but wait for a manual human click before executing the upscale or variation step.

Q: How does the agent know when an image is done generating?

The agent polls the gettaskstatus tool using the task ID returned by the initial generation call. It reads the progress percentage and moves to the next step of your workflow only when the status returns complete.

Build automated, self-healing Midjourney design workflows using Mastra AI agents.

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Connect Midjourney MCP to Mastra AI

Create your Vinkius account to connect Midjourney 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 Midjourney with Mastra AI

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Automated variation loops in Mastra AI workflows

The `variation` tool creates four alternative interpretations of a specific image ID directly from your Mastra AI execution graph using our MCP Server. If your workflow's visual analysis agent rejects an initial generation, the system triggers this tool to pivot the creative direction automatically. Mastra handles the conditional logic, passing the task ID to `get_task_status` in a retry loop. Once the generation completes, the agent evaluates the new assets, ensuring your autonomous design pipeline doesn't stall on a single bad generation.

Multi-step style replication with Mastra AI agents

The `describe` tool reverse-engineers style modifiers and compositions from any input image URL inside your Mastra AI workflow. Your agent receives four distinct text prompts that explain the aesthetic structure of the target file. This MCP Server integration lets your pipeline feed those extracted prompts directly into the `imagine` tool. By chaining these operations, your Mastra agent mimics reference styles across new campaigns without human intervention.

Error-resilient blending pipelines

The `blend` tool merges up to five image URLs into a new composition based on instructions from your Mastra AI agent. When asset generation fails due to upstream API rate limits, Mastra's built-in exponential backoff automatically retries the operation. You define these rules in your workflow file, allowing the agent to manage its own queue via this MCP Server. The agent polls `get_tasks` to track the state of active operations, recovering from transient API issues without crashing your production pipeline.

Setup guide

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

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

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

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Common questions about Midjourney MCP in Mastra AI

You set up retries directly in your Mastra AI workflow configuration. If a Midjourney call fails or hits a rate limit, Mastra's workflow engine pauses and retries the tool using exponential backoff.

Yes, your Mastra AI agent can evaluate generation quality and call the `upscale` tool programmatically. It checks the task ID, waits for completion, and triggers the high-resolution upscale based on your workflow's criteria.

Configure `requireToolApproval` on the Midjourney tools in your Mastra AI agent setup. The agent will generate the task ID, but wait for a manual human click before executing the `upscale` or `variation` step.

The agent polls the `get_task_status` tool using the task ID returned by the initial generation call. It reads the progress percentage and moves to the next step of your workflow only when the status returns complete.

All prompt strings, task IDs, and image URLs are processed in memory within the Vinkius execution layer. This MCP Server never writes your generation parameters or source assets to persistent storage, keeping your creative intellectual property isolated.

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