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Use Product-Market Fit Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluates product maturity and market resonance using retention, sentiment, and growth signals.

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 Product-Market Fit Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Product-Market Fit Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Product-Market Fit Engine.

  1. 01

    Analyze retention health

    Evaluates whether the user base is stabilizing or leaking

  2. 02

    Calculate pmf score

    Provides the primary quantitative assessment of product health

  3. 03

    Evaluate growth efficiency

    Determines if growth is sustainable and driven by market demand

  4. 04

    Get improvement priorities

    Identifies specific areas of the business model that require intervention to increase PMF

Observed, not estimated

788ms average. Fast in production.

Product-Market Fit Engine is checked daily against the live service.

Daily averagePeak 973ms
Aug 28Today
Fastest day
691ms
Slowest day
973ms
14-day trend
Improving-6%

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 Product-Market Fit Engine, so you can see the experience inside your AI.

It does not authenticate your account with Product-Market Fit Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Product-Market Fit Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Fumw4rkLtbXjlnA8Eys2PwFyMXKwB4UfbOoTT0Er/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 — Product-Market Fit Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "product-market-fit-diagnostic-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Fumw4rkLtbXjlnA8Eys2PwFyMXKwB4UfbOoTT0Er/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

FAQ

Questions Product-Market Fit Engine owners ask.

  • 01

    How is the PMF score calculated?

    The score is a weighted composite of user retention, NPS, organic growth, referral rates, and the Sean Ellis 'very disappointed' percentage via the calculate_pmf_score capability.

  • 02

    Can I analyze my retention curve?

    Yes, use analyze_retention_health by providing a sequence of retention percentages to determine if your cohort is stabilizing or leaking.

  • 03

    What are improvement priorities?

    The get_improvement_priorities capability identifies the most critical areas for intervention based on your current metrics deviation from ideal benchmarks.

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