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Connect North Star Metric Modeler to ChatGPT and Claude

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 high-level goals into mathematical growth models.

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

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 North Star Metric Modeler.

  1. 01

    Calculate contribution distribution

    This capability analyzes how much each specific pillar contributes to your current growth gap. It identifies which parts of your model are most responsible for the distance between your current state and your target.

  2. 02

    Configure driver tree

    This capability defines the mathematical relationship between your North Star Metric and its underlying pillars. You assign weights to these pillars, ensuring the total equals 100%.

  3. 03

    Set north star goal

    This capability establishes your primary objective. It sets the baseline and the target milestone your model will work toward.

  4. 04

    Simulate lever improvement

    This capability predicts the outcome of changing a specific pillar. It calculates how an improvement in one area will ripple through to your overall North Star Metric.

Real work

What teams actually run

01

Scenario Planning

Run different versions of a growth plan to see which pillar improvement yields the highest return.

02

Resource Allocation

Determine which area of the business needs more focus by seeing which lever closes the most gap.

03

Goal Alignment

Map out how individual team metrics like activation or retention feed into the company North Star.

04

Growth Forecasting

Model how current trends in specific pillars will affect your long-term targets.

Automate a task

Put North Star Metric Modeler to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

North Star Metric Modeler 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 North Star Metric Modeler 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

727ms average. Fast in production.

North Star Metric Modeler is checked daily against the live service.

Daily averagePeak 916ms
Oct 5Today
Fastest day
539ms
Slowest day
916ms
14-day trend
Slowing+64%

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 North Star Metric Modeler, so you can see the experience inside your AI.

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

North Star Metric Modeler Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/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 — North Star Metric Modeler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "north-star-metric-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/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 North Star Metric Modeler in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work North Star Metric Modeler owners hand off.

Growth professionals and strategic planners use this to turn high-level targets into mathematical models.

  • 01

    Growth Product Managers

    They hand off target metrics to the AI to find the most efficient levers for expansion.

  • 02

    Data Analysts

    They use the capability to model the impact of different metric shifts on the overall business.

  • 03

    Strategic Planners

    They use the driver tree to map out how different business pillars interact.

FAQ

Questions North Star Metric Modeler owners ask.

  • 01

    What is a North Star Metric?

    It is the single key metric that best captures the core value your product delivers to customers. This MCP helps you break that metric down into smaller, manageable parts.

  • 02

    How do I use this with Claude or Cursor?

    You connect the MCP through the Vinkius platform. Once connected, your AI client can directly call the capabilities to perform calculations and simulations.

  • 03

    Can I change the weights of my driver tree?

    Yes, you can use the configuration capability to adjust the weights of your pillars, provided the total weight equals 100%.

  • 04

    Does this capability integrate with my existing data?

    This MCP provides the mathematical modeling framework. You provide the current values and targets to your AI client, which then uses the MCP to run the math.

  • 05

    What is a driver tree?

    A driver tree is a visual or mathematical way to show how different sub-metrics, like retention or acquisition, contribute to a single main goal.

  • 06

    How do I start modeling my metric?

    Start by using the set_north_star_goal capability to define your current value, target value, and the name of your North Star Metric.

  • 07

    How do I assign importance to different growth pillars?

    Use the configure_driver_tree capability. You must provide a JSON array of pillar assignments and an array of corresponding weights that sum up to exactly 100%.

  • 08

    Can I predict the impact of a specific growth initiative?

    Yes, use simulate_lever_improvement by specifying the pillar name and the projected percentage increase to see its effect on your North Star Metric.

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