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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use PE AI Value Creation Planner with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify the economic impact of AI implementation for Private Equity.

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 PE AI Value Creation Planner capability set.

These are the exact actions your AI can choose when you ask it to work with PE AI Value Creation Planner.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through PE AI Value Creation Planner.

  1. 01

    Estimate implementation timeline

    Projects the timeline for value realization

  2. 02

    Assess capability gap

    Evaluates organizational readiness for AI

  3. 03

    Calculate roi

    Measures the profitability of the AI investment

  4. 04

    Calculate total value

    Calculates the net economic impact of AI initiatives

One connector, every AI

PE AI Value Creation Planner 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 PE AI Value Creation Planner 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.

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 PE AI Value Creation Planner, so you can see the experience inside your AI.

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

PE AI Value Creation Planner Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_66kb6Kjf49m98nGna6LVXEOeA1pnjUfHuefFrL6F/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 — PE AI Value Creation Planner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pe-ai-value-creation-planner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_66kb6Kjf49m98nGna6LVXEOeA1pnjUfHuefFrL6F/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 ↑

FAQ

Questions PE AI Value Creation Planner owners ask.

  • 01

    How does this capability account for uncertainty?

    The calculate_total_value capability uses an execution risk factor to adjust the projected value based on the degree of uncertainty in the AI deployment.

  • 02

    Can I model different implementation speeds?

    Yes, you can use estimate_implementation_timeline to project how long it will take to realize value based on complexity and resource availability.

  • 03

    What is included in the investment calculation?

    The investment required should include all capital deployed, including costs for capability building such as data infrastructure and talent training.

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