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DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Product-Market Fit Score with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify product-market fit using Sean Ellis methodology and business metrics.

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 Score capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Product-Market Fit Score.

  1. 01

    Calculate sentiment metrics

    Analyzes raw survey responses to determine the qualitative health of the product

  2. 02

    Analyze cohort variance

    Adjusts the PMF score to account for potential bias between early adopters and the broader market

  3. 03

    Calculate pmf composite score

    Generates the final 0-100 PMF score by combining qualitative sentiment and quantitative business metrics

  4. 04

    Get market readiness guidance

    Translates the PMF score and readiness level into actionable business directions

One connector, every AI

Product-Market Fit Score 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 Product-Market Fit Score 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.

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 Score, so you can see the experience inside your AI.

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

Product-Market Fit Score Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_oa3B2kvVFph49PCUm8EvG4f1fabP2Tzuq5Ta72qO/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 Score capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "product-market-fit-score-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oa3B2kvVFph49PCUm8EvG4f1fabP2Tzuq5Ta72qO/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? How to give Claude access to Product-Market Fit Score

See all the AI clients this connector works with ↑

FAQ

Questions Product-Market Fit Score owners ask.

  • 01

    What is the Sean Ellis test?

    It is a qualitative survey method that asks users how they would feel if they could no longer use the product, identifying the 'very disappointed' segment.

  • 02

    How is the PMF score calculated?

    The score is a weighted composite index combining the 'very disappointed' percentage with NPS, retention rate, and organic growth.

  • 03

    Can I adjust for early adopter bias?

    Yes, use analyze_cohort_variance to adjust the score based on cohort age and sample size to account for potential over-reporting of satisfaction.

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