How to Use the Design Pickle MCP in Mastra AI

Q: How do I trigger Design Pickle tasks in Mastra AI?

Add this MCP Server to your agent tools. Use listdesignrequests to find active work and trigger subsequent automation steps.

Q: Can Mastra AI filter Design Pickle requests?

Use searchdesignrequests to narrow down your project list by keyword. You can then pipe those results into another workflow step.

Q: How do I manage Design Pickle designers in Mastra AI?

Call listassigneddesigners to get the current list. You can use this data to route tasks to specific designers in your workflow.

Automate Design Pickle workflows in Mastra AI with conditional logic and error handling.

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Connect Design Pickle MCP to Mastra AI

Create your Vinkius account to connect Design Pickle 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 Design Pickle with Mastra AI

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Claude

Perplexity

Control Design Pickle queues with Mastra AI

Build agent workflows that monitor your queue with `get_production_queue_status`. Mastra AI handles the retries if the network blips during a status check. You can set up branching logic where the agent notifies an admin if a design request stalls. It turns passive data into an active management system.

Automate Design Pickle requests in Mastra AI

Use `list_design_requests` to trigger follow-up actions for finished work. The agent can then call `get_design_request_details` to verify completion before moving to the next task. This setup allows for complex sequences like automatic project logging. It removes the manual oversight typically required for tracking tasks.

Sync Brand Profiles using Mastra AI

Configure your agents to pull brand details using `get_brand_profile_details` whenever a new request arrives. It ensures your team always has the right assets ready. `list_brand_profiles` helps the agent map requests to the correct brand automatically. This keeps your production pipeline aligned without human intervention.

Setup guide

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

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

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

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

Add this MCP Server to your agent tools. Use `list_design_requests` to find active work and trigger subsequent automation steps.

Yes, the framework includes built-in retries. You can configure exponential backoff for any tool call that fails.

Use `search_design_requests` to narrow down your project list by keyword. You can then pipe those results into another workflow step.

Call `list_assigned_designers` to get the current list. You can use this data to route tasks to specific designers in your workflow.

Your design request titles and production statuses never persist on our servers. We use ephemeral sessions that clear immediately after your workflow finishes.

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