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Connect PE AI Value Creation Planner 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. Model the economic impact of AI across your portfolio.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through PE AI Value Creation Planner.

  1. 01

    Assess capability gap

    This capability evaluates how ready an organization is to implement AI. It identifies the gaps between current capabilities and what is needed for success.

  2. 02

    Calculate roi

    This capability measures the profitability of an AI investment. It calculates the return on investment based on your specific cost and value inputs.

  3. 03

    Calculate total value

    This capability determines the net economic impact of AI initiatives. It provides a calculated figure for the total value created by these projects.

  4. 04

    Estimate implementation timeline

    This capability projects the timeline for value realization. It gives you an estimate of how long it will take to see the results of an AI rollout.

Real work

What teams actually run

01

Pre-acquisition Due Diligence

Assess if a target company's infrastructure can support AI-driven growth before you buy.

02

Portfolio Value Creation Planning

Build a roadmap for implementing AI to drive operational improvements in existing holdings.

03

Investment Committee Reporting

Generate hard numbers on expected ROI and total value for stakeholders.

04

Risk Management

Adjust value projections based on execution risk and capability gaps.

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.

Observed, not estimated

894ms average. Fast in production.

PE AI Value Creation Planner is checked daily against the live service.

Daily averagePeak 1144ms
Oct 3Today
Fastest day
727ms
Slowest day
1144ms
14-day trend
Slowing+22%

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? Set up PE AI Value Creation Planner in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work PE AI Value Creation Planner owners hand off.

This MCP is designed for professionals managing private equity portfolios who need to justify AI-driven value creation.

  • 01

    Private Equity Associates

    They use the capability to build financial models for investment memos.

  • 02

    Operating Partners

    They use it to plan and track value creation initiatives within portfolio companies.

  • 03

    Investment Analysts

    They use it to quantify the potential upside of AI in target acquisitions.

FAQ

Questions PE AI Value Creation Planner owners ask.

  • 01

    What can this MCP do for private equity?

    It provides financial modeling capabilities to quantify the economic impact, ROI, and implementation timelines of AI initiatives within a portfolio.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    How does it handle implementation risk?

    The capabilities allow you to factor in execution risk and capability gaps to provide a more realistic, risk-adjusted view of value creation.

  • 04

    Do I need to host the MCP myself?

    No. Vinkius hosts and manages the MCP for you. You just connect your client and start working.

  • 05

    Can I use this to check if a company is ready for AI?

    Yes. You can use the assess_capability_gap capability to evaluate an organization's readiness for AI implementation.

  • 06

    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.

  • 07

    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.

  • 08

    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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