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Connect Product Market Fit Score 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. Turn user sentiment and business metrics into a clear PMF score.

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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 Product-Market Fit Score.

  1. 01

    Analyze cohort variance

    This capability adjusts your PMF score to account for early adopter bias. It ensures your data reflects the broader market rather than just your most loyal users.

  2. 02

    Calculate pmf composite score

    This capability generates a final 0-100 index. It combines user sentiment with quantitative business metrics for a single source of truth.

  3. 03

    Calculate sentiment metrics

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

  4. 04

    Get market readiness guidance

    This capability provides specific business directions based on your current score. It tells you whether to focus on stability, optimization, or growth.

Real work

What teams actually run

01

Validating Market Readiness

Determine if you should invest in growth or if you need to fix product stability first.

02

Survey Processing

Turn a pile of raw user survey responses into a structured sentiment report.

03

Bias Adjustment

Correct your PMF scores to ensure they represent the mass market, not just your first users.

04

Strategic Planning

Use the guidance capability to build a roadmap based on your current readiness level.

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.

Observed, not estimated

887ms average. Fast in production.

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

Daily averagePeak 1219ms
Oct 3Today
Fastest day
745ms
Slowest day
1219ms
14-day trend
Improving-21%

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? Set up Product-Market Fit Score in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Product-Market Fit Score owners hand off.

Product leaders and growth teams use this to validate their market position. They hand off raw survey data and retention numbers to the AI to get actionable insights.

  • 01

    Product Managers

    They use the engine to decide if the product is ready for more aggressive marketing.

  • 02

    Growth Leads

    They rely on the composite score to validate scaling efforts.

  • 03

    Founders

    They use the guidance capability to prioritize engineering or marketing resources.

FAQ

Questions Product-Market Fit Score owners ask.

  • 01

    What methodology does this MCP use?

    This MCP uses the Sean Ellis methodology to quantify product-market fit.

  • 02

    How is the PMF score calculated?

    The score is a composite index from 0 to 100 that combines qualitative sentiment with quantitative metrics like retention and organic growth.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    How does it handle early adopter bias?

    The analyze_cohort_variance capability specifically adjusts the PMF score to account for the difference between early adopters and the broader market.

  • 05

    What kind of output do I get?

    You get a 0-100 score and actionable business directions, such as whether to focus on stability or optimization.

  • 06

    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.

  • 07

    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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