ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Use Case Diversification with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the ROI and risk of your next AI expansion.

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 AI Use Case Diversification capability set.

These are the exact actions your AI can choose when you ask it to work with AI Use Case Diversification.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Use Case Diversification.

  1. 01

    Analyze opportunity viability

    This capability evaluates a single specific opportunity to see if it is worth pursuing. It checks if the potential payoff justifies the effort.

  2. 02

    Calculate portfolio risk

    This capability assesses the risk level of your expansion strategy. It uses technical complexity to determine how much danger your roadmap faces.

  3. 03

    Compare scenarios

    This capability compares two different expansion strategies. Use it to weigh one growth path against another.

  4. 04

    Get expansion summary

    This capability provides a high-level overview of the financial potential for a group of expansion opportunities. It's your quick way to see the big picture.

One connector, every AI

AI Use Case Diversification 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 AI Use Case Diversification 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

974ms average. Fast in production.

AI Use Case Diversification is checked daily against the live service.

Daily averagePeak 974ms
Sep 14Today
Fastest day
974ms
Slowest day
974ms
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 AI Use Case Diversification, so you can see the experience inside your AI.

It does not authenticate your account with AI Use Case Diversification. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Use Case Diversification Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_x8Yo7af1edezs0pIHwaCV0w1sYEjqDIJElYiu5nc/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 — AI Use Case Diversification capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-use-case-diversification-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_x8Yo7af1edezs0pIHwaCV0w1sYEjqDIJElYiu5nc/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 AI Use Case Diversification

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Use Case Diversification owners hand off.

This MCP is built for leaders who need to justify AI investments with hard numbers. It turns technical ideas into financial models.

  • 01

    Product Managers

    They use it to prioritize the feature roadmap based on ROI.

  • 02

    Finance Leads

    They use it to model the impact of AI expansion on the company budget.

  • 03

    AI Strategists

    They use it to weigh technical feasibility against market demand.

FAQ

Questions AI Use Case Diversification owners ask.

  • 01

    How does this MCP calculate ROI?

    It uses the projected revenue and the required investment to determine the return on investment for a specific use case or portfolio.

  • 02

    What data do I need to provide for a viability check?

    You should provide market demand, cross-sell potential, technical feasibility, and the base cost.

  • 03

    Can I compare two different AI strategies?

    Yes, you can use the compare_scenarios capability to weigh two different expansion paths against each other.

  • 04

    How is technical risk determined?

    The MCP assesses risk by looking at the technical feasibility scores of the opportunities in your portfolio.

  • 05

    Which AI clients can use this MCP?

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

  • 06

    How is the ROI calculated?

    ROI is calculated by dividing the total expansion revenue potential by the total investment required, which includes base development costs adjusted for technical feasibility.

  • 07

    Can I compare different expansion strategies?

    Yes, you can use the compare_scenarios capability to compare the total ROI of two different sets of AI opportunities.

  • 08

    What factors influence the investment required?

    The investment required is based on the base development cost and is adjusted by the technical feasibility score; lower feasibility increases the projected cost.