How to Use the Design Prover MCP in AutoGen

Q: How do I use Design Prover in an AutoGen agent conversation?

You assign the provedesign tool to one of your agents, effectively turning it into a 'critic' or 'QA specialist.' Other agents propose designs, and the critic agent uses the tool to validate them within the conversation.

Let your AutoGen agents debate and prove a UI design is original before a single line of code gets written.

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Connect Design Prover MCP to AutoGen

Create your Vinkius account to connect Design Prover to AutoGen 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 AutoGen

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Debate Design Principles

Set up a multi-agent conversation with clear roles. One agent, the 'Creative,' proposes a design. Another agent, the 'Critic,' is armed with the `prove_design` tool. The Critic's only job is to challenge the creative vision against the tool's five strict criteria. This creates a real dialogue. The Creative might suggest a standard card grid, and the Critic will immediately fire back: "No, `prove_design` will reject that for being a generic layout. We need asymmetry. Try again." It's a structured argument that leads to a better result.

Consensus-Driven Frontend Design

The `prove_design` tool is the impartial judge in an AutoGen debate. You can have multiple agents arguing for different priorities—one for brand consistency, another for accessibility—but the design isn't final until they agree on a plan that satisfies the tool's rules. This means the final output isn't just one agent's idea; it's a negotiated solution. The tool provides the hard constraints that force your agents to collaborate and find a creative path forward, breaking them out of their default patterns. This is how your AutoGen system produces something genuinely unexpected.

An AutoGen Critic for Your MCP Server

Use this MCP Server to build a dedicated critic agent. Its entire purpose is to run every design proposal through the `prove_design` tool. This frees up your primary 'builder' agent to focus on generating ideas, knowing the critic will catch any lazy, uninspired work. Your AutoGen conversation log becomes a record of this process. You can see the initial bad idea, the critic's rejection with direct feedback from the tool, and the final, much-improved design that the team of agents agreed on.

Setup guide

Set up Design Prover MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Design Prover tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Design Prover_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Design Prover data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Design Prover_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Design Prover data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

You assign the `prove_design` tool to one of your agents, effectively turning it into a 'critic' or 'QA specialist.' Other agents propose designs, and the critic agent uses the tool to validate them within the conversation.

They can, but the system works best when you give the tool to a single agent with a specific role. This creates a clear 'proposer versus critic' dynamic that drives the conversation forward.

The agent holding the tool reports the failure back to the group chat. This forces the other agents to address the specific feedback and collaborate on a new design proposal.

That's its exact purpose. It provides the non-negotiable rules that stop your agents from settling on the default 'hero, 3 cards, CTA' layout that AI so often produces.

It only receives the text description of a proposed design from your agent. It checks the rationale for things like typographic scale and color choice. The Vinkius platform ensures this data is processed in an ephemeral, isolated sandbox and is never stored.

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