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Connect Value Engineering Comparator 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. Compare construction alternatives using precise financial engineering.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Value Engineering Comparator.

  1. 01

    Calculate investment efficiency

    This capability calculates the Savings-to-Investment Ratio (SIR) to show how much value you get for every extra dollar spent on an upgrade.

  2. 02

    Calculate net savings

    Use this capability to find the direct difference in cost between a baseline design and a proposed alternative.

  3. 03

    Compute total lcc

    This capability determines the total life cycle cost of an asset by accounting for initial costs and ongoing maintenance over its service life.

Real work

What teams actually run

01

Material Selection

Compare the long-term cost of a standard material against a premium, low-maintenance alternative.

02

Sustainability Analysis

Determine if the higher upfront cost of a green technology is offset by lifetime savings.

03

Budget Optimization

Use the SIR capability to identify which upgrades provide the highest return on investment.

04

Asset Management

Model the total cost of ownership for building components over their entire service life.

Automate a task

Put Value Engineering Comparator 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

Value Engineering Comparator 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Value Engineering Comparator 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

701ms average. Fast in production.

Value Engineering Comparator is checked daily against the live service.

Daily averagePeak 1021ms
Oct 3Today
Fastest day
545ms
Slowest day
1021ms
14-day trend
Slowing+11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Value Engineering Comparator, so you can see the experience inside your AI.

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

Value Engineering Comparator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ZNPR2HLXS6mxnnM5CiBgucqwXCfRm6XBBlE1UOuv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Value Engineering Comparator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "value-engineering-comparator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZNPR2HLXS6mxnnM5CiBgucqwXCfRm6XBBlE1UOuv/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 Value Engineering Comparator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Value Engineering Comparator owners hand off.

This MCP is built for professionals managing the financial lifecycle of construction projects.

  • 01

    Construction Managers

    You hand off cost-comparison tasks to the AI to evaluate material changes.

  • 02

    Value Engineers

    You use the agent to run SIR calculations on proposed design optimizations.

  • 03

    Financial Analysts

    You delegate life cycle cost modeling to the AI to support project feasibility studies.

FAQ

Questions Value Engineering Comparator owners ask.

  • 01

    What is the Savings-to-Investment Ratio (SIR)?

    The SIR is a metric used to quantify the efficiency of an upgrade by comparing the savings achieved to the extra initial investment required.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    How does this MCP handle life cycle costs?

    It uses the compute_total_lcc capability to calculate the total economic commitment of an asset by factoring in initial costs and maintenance over its service life.

  • 04

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

  • 05

    Can I compare two different building designs?

    Yes, you can use the calculate_net_savings capability to compare the costs of a baseline design against a proposed alternative.

  • 06

    What is Life Cycle Cost (LCC)?

    LCC represents the total economic commitment required for a construction solution, including both upfront capital expenditure and all maintenance costs throughout its useful life.

  • 07

    How do I use the SIR calculation?

    Use calculate_investment_efficiency by providing the total savings and the initial cost delta to find out how much is saved for every dollar of extra investment.

  • 08

    Can I compare two different materials?

    Yes, by calculating the LCC for both materials using compute_total_lcc and then comparing them with calculate_net_savings.

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