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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use NSM Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Move product decisions from gut feeling to precise data.

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 NSM Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with NSM Analyzer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through NSM Analyzer.

  1. 01

    Evaluate leading indicator

    Determines how predictive a specific leading indicator is for the North Star Metric

  2. 02

    Get feature impact summary

    Provides a high-level overview of a feature's health and contribution status

  3. 03

    Get nsm contribution

    Calculates the specific percentage of the North Star Metric that is driven by a specific AI feature

  4. 04

    Rank feature priority

    Generates a final priority ranking for an AI feature by combining mathematical impact with strategic intent

Observed, not estimated

836ms average. Fast in production.

NSM Analyzer is checked daily against the live service.

Daily averagePeak 959ms
Aug 28Today
Fastest day
721ms
Slowest day
959ms
14-day trend
Improving-10%

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 NSM Analyzer, so you can see the experience inside your AI.

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

NSM Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_yFt3TdlAk1TjCAGDiKY3X5VrqTckG0etrUBdM4oM/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 — NSM Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-nsm-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yFt3TdlAk1TjCAGDiKY3X5VrqTckG0etrUBdM4oM/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

Who it's for

Built for the work NSM Analyzer owners hand off.

Product Managers and Product Owners use this MCP to stop making product decisions based on gut feelings. It provides a data-driven way to prove which AI features are actually moving the needle on your company's most important metric.

  • 01

    Product Manager

    Use this to justify roadmap changes and prove the ROI of new features.

  • 02

    Product Owner

    Use this to align feature development with the measurable goals of the business.

  • 03

    Data Analyst

    Use this to model the complex relationship between feature usage and core business metrics.

FAQ

Questions NSM Analyzer owners ask.

  • 01

    Does this MCP analyze real-time data?

    The MCP processes data to calculate impact and signals. It provides the mathematical framework for measurement, helping you understand the relationship between feature usage and your North Star Metric.

  • 02

    What is the difference between NSM contribution and predictive strength?

    NSM contribution calculates the percentage of the metric movement tied to a feature. Predictive strength assesses how reliable a metric is as a signal for future growth.

  • 03

    Can I use this to decide what to build next?

    Yes. The MCP provides a final priority ranking that combines both mathematical impact and strategic alignment, helping you make data-backed decisions for your roadmap.

  • 04

    Is this capability only for AI features?

    While it is designed for AI features, the underlying framework measures the relationship between any feature usage and your core product goals.

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