What does this MCP actually do?

It acts as a design critic for your AI client. It uses a set of strict principles to evaluate if a product idea is simple, human-centric, and bold, or if it is bloated and cowardly.

How is this different from just asking an AI to design a product?

Standard AI prompts lead to feature bloat and technical jargon. This MCP imposes a structured obligation that the agent cannot skip, forcing it to justify its design choices through specific pivots like radical simplification and complexity absorption.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Does the MCP generate product ideas?

No. The MCP does not generate ideas. It validates the reasoning and design logic of the ideas your agent produces.

What happens if my design fails the validation?

The capability will reject the call and provide a specific error message, such as FEATURE_BLOAT or TASTE_ABSENT, along with coaching on how to fix the contradiction.

Does it generate product designs?

No. It computes nothing and generates nothing. The LLM designs the product. this capability validates that the reasoning behind the design is rigorous. It catches contradictions: if the LLM claims zero configuration but describes a settings panel, the capability rejects and explains why.

What does it catch that a prompt instruction doesn't?

A prompt says 'think like Steve Jobs.' The LLM nods and generates bloated designs anyway. This capability forces the LLM to fill in specific fields. name what it killed, describe the human moment without tech words, explain how the system decides. Capability calls are obligations. Instructions are suggestions. The LLM cannot skip the reflection.

Can I use it for developer capabilities and APIs, not just consumer products?

Yes. The principles apply universally. A CLI capability with 47 flags is the same failure as a consumer app with a settings menu. you pushed decisions to the user. The 'experience backwards' pivot works for developers too: start with the developer's workflow, not your architecture.

An astronaut overseeing a futuristic data hub

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Connect Steve Jobs Vision Prover to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop building feature factories and start building real products.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Steve Jobs Vision Prover.

01
Validate steve jobs vision
This capability forces your AI client to validate a product idea against six strict design criteria, including radical simplification and ownership. It rejects any proposal that relies on tech-first framing or unnecessary user configuration.

Real work

What teams actually run

Product Spec Reviews

Run a new product concept through the MCP to see if it passes the vision test.

Feature Pruning

Use the capability to justify removing specific features to improve the core experience.

Pitch Refinement

Transform a technical spec sheet into a compelling human-centric product pitch.

Strategic Decision Making

Evaluate whether to build a feature in-house or rely on a third-party integration.

Automate a task

Put Steve Jobs Vision Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Steve Jobs Vision Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Steve Jobs Vision Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

877ms average. Fast in production.

Steve Jobs Vision Prover is checked daily against the live service.

Daily averagePeak 1411ms

Oct 3Today

Fastest day: 715ms
Slowest day: 1411ms
14-day trend: Improving-18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Steve Jobs Vision Prover, so you can see the experience inside your AI.

It does not authenticate your account with Steve Jobs Vision Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Steve Jobs Vision Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Steve Jobs Vision Prover capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "steve-jobs-vision-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Steve Jobs Vision Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Steve Jobs Vision Prover owners hand off.

Product designers and engineers who want to use AI as a high-level design partner rather than a feature generator.

01
Product Managers
Use it to stress-test product specs and roadmaps against core design principles.
02
UX Designers
Hand off user flow concepts to the agent to ensure they remain simple and human-centric.
03
Founders
Validate startup ideas to ensure they aren't just feature-heavy shells without a clear vision.

FAQ

Questions Steve Jobs Vision Prover owners ask.

01
What does this MCP actually do?
It acts as a design critic for your AI client. It uses a set of strict principles to evaluate if a product idea is simple, human-centric, and bold, or if it is bloated and cowardly.
02
How is this different from just asking an AI to design a product?
Standard AI prompts lead to feature bloat and technical jargon. This MCP imposes a structured obligation that the agent cannot skip, forcing it to justify its design choices through specific pivots like radical simplification and complexity absorption.
03
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
Does the MCP generate product ideas?
No. The MCP does not generate ideas. It validates the reasoning and design logic of the ideas your agent produces.
05
What happens if my design fails the validation?
The capability will reject the call and provide a specific error message, such as FEATURE_BLOAT or TASTE_ABSENT, along with coaching on how to fix the contradiction.
06
Does it generate product designs?
No. It computes nothing and generates nothing. The LLM designs the product. this capability validates that the reasoning behind the design is rigorous. It catches contradictions: if the LLM claims zero configuration but describes a settings panel, the capability rejects and explains why.
07
What does it catch that a prompt instruction doesn't?
A prompt says 'think like Steve Jobs.' The LLM nods and generates bloated designs anyway. This capability forces the LLM to fill in specific fields. name what it killed, describe the human moment without tech words, explain how the system decides. Capability calls are obligations. Instructions are suggestions. The LLM cannot skip the reflection.
08
Can I use it for developer capabilities and APIs, not just consumer products?
Yes. The principles apply universally. A CLI capability with 47 flags is the same failure as a consumer app with a settings menu. you pushed decisions to the user. The 'experience backwards' pivot works for developers too: start with the developer's workflow, not your architecture.

Explore

More in Engineering

Connect Steve Jobs Vision Prover to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01

Validate steve jobs vision

What teams actually run

Product Spec Reviews

Feature Pruning

Pitch Refinement

Strategic Decision Making

Building your own app? The connector is yours to use.

Steve Jobs Vision Prover Connector

Claude Desktop

Product Managers

UX Designers

Founders

What does this MCP actually do?

How is this different from just asking an AI to design a product?

Which AI clients can use this MCP?

Does the MCP generate product ideas?

What happens if my design fails the validation?

Does it generate product designs?

What does it catch that a prompt instruction doesn't?

Can I use it for developer capabilities and APIs, not just consumer products?

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