How to Use the Design Prover MCP in Mastra AI

Build frontend generation workflows that reject bad layouts. Design Prover forces your Mastra AI agents to build real interfaces.

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Connect Design Prover MCP to Mastra AI

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

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Automated design rejection

The `prove_design` tool acts as a strict gatekeeper in your Mastra AI workflows. If your agent tries to generate a standard three-card layout with blue, gray, and white colors, this MCP Server rejects the step. Your workflow engine automatically catches that failure and forces the LLM to retry with a better layout. You configure the conditional branching to handle these design failures directly. When the tool demands a 3:1 scale ratio for a focal point, the agent has to comply before the workflow proceeds. This completely eliminates the generic AI startup aesthetic from your automated pipelines.

Enforce layout rules in pipelines

Most automated code generation results in uniform padding and predictable grids. This MCP Server breaks that habit by demanding dramatic whitespace and asymmetric columns. Your agent must map out exactly where space is dramatic (160px+) and where it is tight (4px). Setting up exponential backoff in Mastra means the agent gets multiple chances to get the layout right. If it keeps trying to output standard card arrays, the tool keeps failing the step. You end up with a deployment pipeline that only ships frontends with actual personality.

Require Mastra AI tool approval

Typography and color choices require human oversight when the agent struggles. You can enable requireToolApproval in your workflow to intercept the agent's color justifications. The tool forces the LLM to explain why it picked specific hex values and what mood they communicate. A developer reviews the 5:1 typography ratio and the color logic before the code generates. If the AI chose safe defaults, you reject the step manually. Your automated systems learn to stop relying on text-sm to text-5xl defaults and start building interfaces with commanding text.

Setup guide

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

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

const result = await agent.generate(
  "List recent Design Prover 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 Prover. 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 Prover MCP in Mastra AI

Install @mastra/mcp@latest and instantiate a new MCPClient with the Vinkius URL. Call mcpClient.listTools() and spread the results into your agent's tool array. The framework automatically detects if you need SSE or Streamable HTTP.

The tool throws an error if the agent proposes a generic card grid. Your workflow engine catches this and triggers your configured retry logic. You can set up conditional branches to prompt the agent with stricter design constraints on the next attempt.

Yes. You can flag the layout validation step for manual review. The workflow pauses execution while you check the agent's typography and whitespace justifications.

The endpoint is stateless and processes each retry as a fresh validation request. If your agent fails the color personality check three times, the exponential backoff gives it time to generate a completely new color palette.

We run every validation in an ephemeral, zero-trust sandbox. The server only sees the HTML/CSS structure and hex codes you send it. Your workflow state, API keys, and business logic stay entirely local.

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