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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Silicon Economics Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Determine if custom ASICs beat standard GPU clusters.

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 Silicon Economics Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Silicon Economics Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Silicon Economics Engine.

  1. 01

    Compare tco at volume

    This capability calculates the total cost difference between custom silicon and GPUs when you deploy a specific number of units.

  2. 02

    Evaluate ttm opportunity cost

    Use this to quantify the financial impact of delays. It measures the opportunity cost associated with waiting during the custom silicon development cycle.

  3. 03

    Get break even analysis

    This determines the exact deployment volume required to justify switching from using standard GPUs to developing custom silicon.

  4. 04

    Model iteration impact

    This projects how subsequent hardware versions affect your long-term economics, allowing you to plan across multiple hardware generations.

One connector, every AI

Silicon Economics Engine 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 Silicon Economics Engine 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

1105ms average. Fast in production.

Silicon Economics Engine is checked daily against the live service.

Daily averagePeak 1105ms
Sep 6Today
Fastest day
1105ms
Slowest day
1105ms
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 Silicon Economics Engine, so you can see the experience inside your AI.

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

Silicon Economics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kKxvQ3VAizzni9cf4FjnBTAld45Gtoywbv3Rd5rc/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 — Silicon Economics Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-custom-silicon-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kKxvQ3VAizzni9cf4FjnBTAld45Gtoywbv3Rd5rc/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? link.label

See all the AI clients this connector works with ↑

Who it's for

Built for the work Silicon Economics Engine owners hand off.

This MCP is essential for technical leadership and finance teams planning large-scale AI infrastructure. If you're deciding between massive CapEx on custom chips or sticking with established GPU clusters, this capability provides the necessary financial rigor. It turns abstract hardware decisions into concrete, measurable costs.

  • 01

    CTO / VP of Engineering

    Use this to build the business case for custom silicon development versus buying off-the-shelf hardware.

  • 02

    Financial Analyst

    Run detailed TCO models to forecast costs across multiple operational scales and time horizons.

  • 03

    AI Infrastructure Planner

    Determine the optimal timing and volume for hardware upgrades to maximize ROI.

FAQ

Questions Silicon Economics Engine owners ask.

  • 01

    Does this MCP compare ASICs to GPUs?

    Yes. This MCP is specifically designed to compare the Total Cost of Ownership (TCO) between developing custom AI silicon (ASICs) and using standard, off-the-shelf GPU clusters.

  • 02

    What kind of data do I need to provide?

    You must provide financial inputs, including Non-Recurring Engineering (NRE) costs, unit costs for both custom silicon and GPUs, and performance metrics to run the models.

  • 03

    Can I find out when custom silicon pays for itself?

    You can use the get_break_even_analysis capability. It determines the exact deployment volume needed to justify the switch from GPUs to custom silicon.

  • 04

    Is this just for small projects?

    No. The MCP handles large-scale economic modeling, allowing you to project costs and viability across multiple hardware generations and high volumes.

  • 05

    Does it account for development delays?

    Yes. The evaluate_ttm_opportunity_cost capability quantifies the financial impact of delays, helping you measure the cost of waiting for custom development.

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