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Connect Pe AI Maturity Assessment Engine to your AI

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. Quantify AI readiness and financial upside during due diligence.

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 Maturity Engine.

  1. 01

    Analyze AI maturity

    This capability calculates a primary AI maturity score by processing qualitative and quantitative inputs.

  2. 02

    Assess AI risk

    Use this to evaluate technical and regulatory risks tied to a company's current AI and data posture.

  3. 03

    Calculate roadmap value

    This capability estimates the potential financial upside of addressing specific AI maturity gaps.

  4. 04

    Compare industry benchmarks

    This capability pulls standard maturity thresholds for specific sectors to provide industry context.

Real work

What teams actually run

01

Pre-acquisition Due Diligence

Evaluate if a target company's AI infrastructure supports their stated growth plans.

02

Value Creation Planning

Estimate the financial impact of upgrading a portfolio company's MLOps or data capabilities.

03

Risk Mitigation

Identify compliance or technical gaps that could lead to liabilities post-acquisition.

04

Competitive Benchmarking

Compare a potential investment against sector-specific maturity standards.

One connector, every AI

PE AI Maturity 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.

Building your own app? The connector is yours to use.

You don't need a client to put PE AI Maturity 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

887ms average. Fast in production.

PE AI Maturity Engine is checked daily against the live service.

Daily averagePeak 1111ms
Oct 3Today
Fastest day
752ms
Slowest day
1111ms
14-day trend
Slowing+27%

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 Maturity Engine, so you can see the experience inside your AI.

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

PE AI Maturity Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hBoKrAGnfp5Q2LnAzBPTSO7Mk8lkHwSfkHuhATLB/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 Maturity Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pe-ai-maturity-assessment-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hBoKrAGnfp5Q2LnAzBPTSO7Mk8lkHwSfkHuhATLB/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 Maturity Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work PE AI Maturity Engine owners hand off.

Designed for investment professionals who need to quantify technical capabilities during the due diligence process.

  • 01

    Private Equity Associate

    Hands off raw target data to the agent to generate standardized maturity reports.

  • 02

    Investment Principal

    Uses the output to validate investment theses and model potential value creation.

  • 03

    Due Diligence Lead

    Relies on risk assessments to identify red flags in a target's technical infrastructure.

FAQ

Questions PE AI Maturity Engine owners ask.

  • 01

    What kind of data do I need to provide for a maturity score?

    You provide qualitative and quantitative inputs regarding infrastructure, MLOps, talent, and use cases.

  • 02

    Can this MCP help with regulatory due diligence?

    Yes, the assess_ai_risk capability specifically evaluates risks associated with a company's data posture and implementation.

  • 03

    How is the financial upside calculated?

    The calculate_roadmap_value capability estimates the Euro-denominated upside based on maturity gaps and efficiency multipliers.

  • 04

    Which AI clients can I use with this MCP?

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

  • 05

    Does it provide industry-specific context?

    Yes, the compare_industry_benchmarks capability allows you to normalize scores against sector-specific thresholds.

  • 06

    How is the AI maturity score calculated?

    The score is a weighted aggregation of data infrastructure, MLOps maturity, team capabilities, and competitive positioning, adjusted by the number of identified use cases.

  • 07

    Can I estimate the financial impact of AI improvements?

    Yes, the calculate_roadmap_value capability estimates the projected Euro value unlocked by closing maturity gaps based on annual revenue and industry efficiency multipliers.

  • 08

    Does this capability assess regulatory risks?

    Yes, the assess_ai_risk capability evaluates technical debt and data privacy compliance to provide a risk score and mitigation priority.

Connect PE AI Maturity Engine to Claude, Cursor, ChatGPT & more