ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Foundation Model Valuation with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate enterprise value and market position for AI model companies.

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 Foundation Model Valuation capability set.

These are the exact actions your AI can choose when you ask it to work with AI Foundation Model Valuation.

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

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

1007ms average. Fast in production.

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

Daily averagePeak 1024ms
Sep 5Today
Fastest day
990ms
Slowest day
1024ms
14-day trend
Stable-3%

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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions AI Foundation Model Valuation owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.