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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use CAPEX Efficiency Modeler with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify how AI investments impact your capital spend and asset output.

Included with plan

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

Complete set · 4 capabilities

The complete CAPEX Efficiency Modeler capability set.

These are the exact actions your AI can choose when you ask it to work with CAPEX Efficiency Modeler.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through CAPEX Efficiency Modeler.

  1. 01

    Calculate AI roi

    This capability measures the financial return on your specific AI solution investment.

  2. 02

    Calculate capex reduction

    Use this to determine how much capital expenditure you can avoid or defer through AI improvements.

  3. 03

    Calculate productivity gains

    This capability quantifies the total value added by increased output and improved asset uptime.

  4. 04

    Get asset efficiency benchmarks

    This capability retrieves baseline efficiency expectations for equipment like heavy machinery or digital infrastructure.

One connector, every AI

CAPEX Efficiency Modeler 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 CAPEX Efficiency Modeler 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

808ms average. Fast in production.

CAPEX Efficiency Modeler is checked daily against the live service.

Daily averagePeak 808ms
Sep 14Today
Fastest day
808ms
Slowest day
808ms
14-day trend
Stable0%

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 CAPEX Efficiency Modeler, so you can see the experience inside your AI.

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

CAPEX Efficiency Modeler Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Aa3qUBHJ3a8k9AHzG71mjJXWzyfBR4GtLwnUewRF/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 — CAPEX Efficiency Modeler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "capex-efficiency-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Aa3qUBHJ3a8k9AHzG71mjJXWzyfBR4GtLwnUewRF/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? How to give Claude access to CAPEX Efficiency Modeler

See all the AI clients this connector works with ↑

Who it's for

Built for the work CAPEX Efficiency Modeler owners hand off.

This MCP is built for professionals managing large-scale physical or digital assets who need to justify technology spend.

  • 01

    Financial Analysts

    They hand off complex CAPEX modeling tasks to the AI to generate ROI reports.

  • 02

    Operations Managers

    They use the capability to quantify how much uptime improvements actually save the company.

  • 03

    Asset Managers

    They rely on the MCP to compare current asset efficiency against industry benchmarks.

FAQ

Questions CAPEX Efficiency Modeler owners ask.

  • 01

    What can this MCP do for my financial modeling?

    It allows your AI client to calculate AI ROI, CAPEX reductions, and productivity gains while providing industry benchmarks for asset efficiency.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    Can I use this for heavy machinery calculations?

    Yes, the MCP includes capabilities to get efficiency benchmarks specifically for heavy machinery and digital infrastructure.

  • 04

    How does it help with CAPEX?

    It calculates how much capital expenditure you can avoid or defer by using AI to improve asset utilization and capacity.

  • 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 your client.

  • 06

    How does this capability help with CAPEX?

    It uses calculate_capex_reduction to determine how much capital expenditure can be avoided by increasing the utilization and capacity of existing assets through AI.

  • 07

    Can I compare different equipment types?

    Yes, you can use get_asset_efficiency_benchmarks to retrieve baseline utilization and maintenance savings expectations for specific equipment like heavy machinery or energy systems.

  • 08

    How is the ROI calculated?

    The calculate_ai_roi capability calculates the return by comparing the total benefits (maintenance savings and productivity gains) against the initial AI investment cost.

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