How do I use this MCP with my AI client?

You connect once through Vinkius. Once connected, your AI client in Claude, Cursor, or Windsurf will have direct access to all the prototyping capabilities.

What can this MCP calculate?

It calculates optimal prototype counts, budget efficiency, the impact of prototype fidelity on learning, and whether your iterations meet testing standards.

Can I use this to see if I am overspending on design?

Yes. You can use the efficiency metrics capability to evaluate how effectively your budget was used during a prototyping phase.

Does this MCP work with any AI client?

It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

Do I need to host the MCP myself?

No. Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect.

How do I find the best number of prototypes to build?

You can use the get_optimal_iteration_plan capability. It calculates the point where the cost of an additional prototype exceeds the value of the learning gained.

Can I compare low-fidelity and high-fidelity costs?

Yes, the simulate_fidelity_impact capability allows you to predict how increasing prototype quality affects your budget and learning speed.

How is iteration efficiency measured?

Efficiency is measured using calculate_efficiency_metrics, which provides an efficiency score and the cost per learning unit based on your total investment and knowledge gained.

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Connect Builder Prototyping Economics 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. Calculate the exact cost and efficiency of your design iterations.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Builder Prototyping Economics.

01
Calculate efficiency metrics
This capability evaluates how effectively your prototyping phase used its allocated budget. It provides a clear look at your cost per learning unit.
02
Get optimal iteration plan
Use this to find the most economically sound number of prototypes to build. It balances cost against the value of the information you gain.
03
Simulate fidelity impact
This capability predicts how changing prototype quality affects both your budget and your speed of learning.
04
Validate testing requirements
This capability checks if your planned number of iterations is enough to meet your minimum testing standards.

Real work

What teams actually run

Budget Optimization

Determine the exact number of prototypes needed to maximize learning without overspending.

Fidelity Trade-offs

Compare the cost of high-fidelity models against the speed of learning they provide.

Compliance Checking

Ensure a design plan has enough iterations to satisfy mandatory testing requirements.

Post-Phase Analysis

Calculate efficiency scores and cost per learning unit after a design cycle ends.

One connector, every AI

Builder Prototyping Economics 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 Builder Prototyping Economics 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

856ms average. Fast in production.

Builder Prototyping Economics is checked daily against the live service.

Daily averagePeak 1016ms

Oct 3Today

Fastest day: 653ms
Slowest day: 1016ms
14-day trend: Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive 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 Builder Prototyping Economics, so you can see the experience inside your AI.

It does not authenticate your account with Builder Prototyping Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Builder Prototyping Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Xk6RelPYT2TcESmDYx6UsttrqTA3xNEZfWJmaAmV/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 — Builder Prototyping Economics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "builder-prototyping-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Xk6RelPYT2TcESmDYx6UsttrqTA3xNEZfWJmaAmV/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 Builder Prototyping Economics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Builder Prototyping Economics owners hand off.

This MCP is built for teams that need to justify design spend and optimize their R&D cycles.

01
Product Designers
They ask the AI to check if their planned iterations meet testing standards.
02
Product Managers
They use the AI to model the cost and efficiency of upcoming design phases.
03
R&D Engineers
They use the AI to simulate how prototype fidelity impacts learning speed.

FAQ

Questions Builder Prototyping Economics owners ask.

01
How do I use this MCP with my AI client?
You connect once through Vinkius. Once connected, your AI client in Claude, Cursor, or Windsurf will have direct access to all the prototyping capabilities.
02
What can this MCP calculate?
It calculates optimal prototype counts, budget efficiency, the impact of prototype fidelity on learning, and whether your iterations meet testing standards.
03
Can I use this to see if I am overspending on design?
Yes. You can use the efficiency metrics capability to evaluate how effectively your budget was used during a prototyping phase.
04
Does this MCP work with any AI client?
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.
05
Do I need to host the MCP myself?
No. Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect.
06
How do I find the best number of prototypes to build?
You can use the get_optimal_iteration_plan capability. It calculates the point where the cost of an additional prototype exceeds the value of the learning gained.
07
Can I compare low-fidelity and high-fidelity costs?
Yes, the simulate_fidelity_impact capability allows you to predict how increasing prototype quality affects your budget and learning speed.
08
How is iteration efficiency measured?
Efficiency is measured using calculate_efficiency_metrics, which provides an efficiency score and the cost per learning unit based on your total investment and knowledge gained.

Explore

More in Economics

Connect Builder Prototyping Economics 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.

01-04

Calculate efficiency metrics

Get optimal iteration plan

Simulate fidelity impact

Validate testing requirements

What teams actually run

Budget Optimization

Fidelity Trade-offs

Compliance Checking

Post-Phase Analysis

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

Builder Prototyping Economics Connector

Claude Desktop

Product Designers

Product Managers

R&D Engineers

How do I use this MCP with my AI client?

What can this MCP calculate?

Can I use this to see if I am overspending on design?

Does this MCP work with any AI client?

Do I need to host the MCP myself?

How do I find the best number of prototypes to build?

Can I compare low-fidelity and high-fidelity costs?

How is iteration efficiency measured?

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