How to Use the Design Prover MCP in CrewAI

Stop your agent teams from shipping boring UIs. Design Prover forces your CrewAI frontend developers to build dramatic, custom layouts.

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Connect Design Prover MCP to CrewAI

Create your Vinkius account to connect Design Prover to CrewAI 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 CrewAI

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Perplexity

Design critique for agent teams

The `prove_design` tool acts as a ruthless art director for your autonomous operations. When your frontend agent tries to pass off a basic hero section and three uniform cards, this tool intercepts the handoff. It forces the generating agent to prove its design has a clear focal point with at least a 3:1 scale ratio. You assign this MCP Server to a dedicated monitor agent in your CrewAI setup. That monitor watches the session and rejects any layout that relies on generic rounded-xl and shadow-lg classes. The generating agent has to completely rethink its approach, mapping out asymmetric columns and overlapping elements before the operation continues.

Force hierarchical execution rules

Uniform padding ruins automated UI generation. This MCP Server demands intentional whitespace, forcing your agents to use 160px gaps for tension and tight 4px clusters for grouping. If the agent tries to apply gap-6 everywhere, the tool fails the task. Your manager agent sees this failure and delegates the task back to the designer agent with stricter constraints. The shared memory keeps track of which boring layouts got rejected. Your crew learns to stop building the standard AI startup kit and starts delivering interfaces with actual visual drama.

CrewAI MCP Server typography

Default text sizes make every AI-generated page look identical. The tool requires your agents to define specific sizes and weight contrasts, demanding a 5:1 ratio between display and body text. A 72px header paired with a 14px body passes the check; safe text-sm defaults do not. The agents must also justify their specific hex values. If the color palette lacks personality, the operation halts. You get a crew that builds frontends with commanding typography and intentional color choices, entirely without human intervention.

Setup guide

Set up Design Prover MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Design Prover tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Design Prover Analyst",
    goal="Access and analyze Design Prover data via MCP.",
    backstory="Expert analyst with direct Design Prover access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Design Prover transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Design Prover Analyst",
        goal="Access and analyze Design Prover data via MCP.",
        backstory="Expert analyst with direct Design Prover access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Design Prover transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the Vinkius endpoint URL directly into your agent's mcps array parameter. The framework automatically handles the connection. For more control, import MCPServerHTTP and use a tool filter.

Yes. You should give this tool exclusively to a reviewer or art director agent. The designer agent proposes the layout, and the reviewer agent uses the tool to validate the typography and whitespace.

The tool returns a failure message detailing exactly which design rules the layout broke. The agent reads this feedback from shared memory and attempts a redesign with asymmetric columns or dramatic scale ratios.

The manager agent uses the tool's output to evaluate the performance of the designer agents. If a worker keeps submitting flat designs with uniform padding, the manager will escalate or reassign the task.

The V8 Isolate Sandbox destroys itself immediately after validating the design parameters. We only process the specific layout coordinates and color codes sent to the tool. Your agent's context and shared memory never touch our disks.

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