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Connect AI Foundation Model Valuation 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. Determine market position and revenue potential with one connection.

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 AI Foundation Model Valuation.

  1. 01

    Analyze market competitiveness

    Evaluates how open-source competition and proprietary rivals affect the company's moat

  2. 02

    Generate comparable analysis

    Compares the subject company against a set of standardized industry benchmarks

  3. 03

    Calculate enterprise valuation

    Performs the primary valuation of the company based on technical and financial inputs

  4. 04

    Project API revenue potential

    Estimates the long-term revenue ceiling from API access

Real work

What teams actually run

01

Pre-Investment Due Diligence

Before writing a term sheet, run the MCP to calculate the target company's enterprise value and assess its vulnerability to open-source alternatives.

02

Market Entry Strategy

Use the comparable analysis capability to see how your product's projected revenue potential stacks up against established industry leaders.

03

M&A Target Evaluation

When evaluating an acquisition, the MCP quickly determines the target's true financial value and its current market moat strength.

04

Investment Thesis Validation

Test your investment hypothesis by projecting API revenue potential based on current usage metrics and market saturation data.

One connector, every AI

AI Foundation Model Valuation 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 Foundation Model Valuation 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

902ms average. Fast in production.

AI Foundation Model Valuation is checked daily against the live service.

Daily averagePeak 1116ms
Oct 3Today
Fastest day
689ms
Slowest day
1116ms
14-day trend
Slowing+30%

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 Foundation Model Valuation, so you can see the experience inside your AI.

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

AI Foundation Model Valuation Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2FxbTbjh53xOOGFBhgKDWgnhRzG6ZOEMrs2vSa6z/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 Foundation Model Valuation capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-foundation-model-valuation-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2FxbTbjh53xOOGFBhgKDWgnhRzG6ZOEMrs2vSa6z/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 AI Foundation Model Valuation in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Foundation Model Valuation owners hand off.

This MCP is essential for venture capitalists, financial analysts, and corporate strategists. If your job involves assessing the financial viability or market position of AI-native companies, this capability gives you the necessary depth. It moves your analysis beyond simple revenue projections and into true enterprise valuation.

  • 01

    Venture Capital Analyst

    Uses the MCP to quickly assess a startup's market moat and total enterprise value before making an investment recommendation.

  • 02

    Financial Strategist

    Runs comparable analyses to benchmark a client's AI division against industry standards and peers.

  • 03

    Corporate Development Lead

    Determines the potential API revenue ceiling when evaluating potential acquisition targets in the AI space.

FAQ

Questions AI Foundation Model Valuation owners ask.

  • 01

    Does this MCP only calculate market cap?

    No. It calculates the total enterprise value, which is a broader metric. It factors in technical superiority and computational investment, giving a more complete picture than just market capitalization.

  • 02

    What kind of data do I need to run the valuation?

    You need financial inputs, such as projected revenue and training costs, along with details about the model's capabilities and market usage metrics.

  • 03

    Is this capability useful for non-AI companies?

    No. This MCP is highly specialized. It is designed specifically for assessing the unique financial and competitive dynamics of companies building foundational AI models.

  • 04

    How does it handle open-source competition?

    It uses the analyze_market_competitiveness capability to give you a specific score. This score indicates the degree of pricing pressure or competitive threat from open-source alternatives.

  • 05

    How does the engine account for open-source competition?

    The analyze_market_competitiveness capability specifically evaluates how open-source pressure impacts moat strength and pricing pressure.

  • 06

    Can I compare my company to industry benchmarks?

    Yes, you can use generate_comparable_analysis to see how a company's valuation and revenue multiples compare to standardized industry peer groups.

  • 07

    What inputs are required for a full valuation?

    To use calculate_enterprise_valuation, you need the model capabilities, total training cost, projected revenue trajectory, and the company's competitive position.

Connect AI Foundation Model Valuation to Claude, Cursor, ChatGPT & more