North Star Metric Modeler Connector for AI agents.
4 live capabilities
Map out growth levers and simulate business scenarios with data-driven modeling.
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Why people use North Star Metric Modeler
North Star Metric Modeler for Growth Strategy Modeling
This Connector changes that by letting you build a living model of your growth engine. You define your pillars and weights once, and then your agent can run hundreds of simulations in seconds. You get a clear, mathematical view of your strategy instead of a messy spreadsheet.
What Vinkius changes
You get a data-backed roadmap of which specific product changes will move your most important metric.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Evaluating a new referral feature
A Growth Lead wants to know if a new referral feature is worth building.
- Real-world use case 02
Justifying a retention focus
A Product Manager needs to explain why the team is focusing on retention over new signups.
- Real-world use case 03
Pitching growth to investors
A Founder is preparing a pitch deck and needs a realistic growth forecast.
Complete set · 4capabilities
The complete North Star Metric Modeler capability set.
These are the exact actions your AI can choose when you ask it to work with North Star Metric Modeler.
01—04
4 capabilities in this set.
Part of 4 available through North Star Metric Modeler.
- 01 Capability
Set north star goal
Set your primary objective and current performance milestones. This helps your agent understand exactly what success looks like for your business.
- 02 Capability
Simulate lever improvement
Predict the total impact on your main metric when a specific pillar improves. You can use this to see if a small change in one area is worth the engineering effort.
- 03 Capability
Calculate contribution distribution
See which specific levers are responsible for the largest part of your growth gap. This helps you identify where to focus your team's energy to hit your targets faster.
- 04 Capability
Configure driver tree
Define the structural relationships and weights between your main metric and its pillars. This creates the mathematical model your agent uses to run all your growth simulations.
Set up in minutes
One URL. Then ask North Star Metric Modeler to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use North Star Metric Modeler from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it North Star Metric Modeler, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable North Star Metric Modeler for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the North Star Metric Modeler URL.
- Step 03
Save and start
Save the connection and enable North Star Metric Modeler in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"north-star-metric-modeler": {
"url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using North Star Metric Modeler
Open Agent mode in chat and ask: "Using North Star Metric Modeler, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"north-star-metric-modeler": {
"url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using North Star Metric Modeler
Ask Copilot: "Using North Star Metric Modeler, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"north-star-metric-modeler": {
"url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using North Star Metric Modeler
Open Cascade and ask: "Using North Star Metric Modeler, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"north-star-metric-modeler": {
"url": "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using North Star Metric Modeler
Ask Cline: "Using North Star Metric Modeler, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add north-star-metric-modeler --transport http "https://edge.vinkius.com/vk_preview_LXm5HO243TMBh4JZO2bQwyrT29gxLgl1AKqd5ixQ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using North Star Metric Modeler
Ask Claude: "Using North Star Metric Modeler, show me...". 4 tools are ready
Where the request belongs
Work North Star Metric Modeler can move forward.
This Connector is for growth leads and product managers who need to justify their roadmaps with data. It solves the problem of guessing which feature to build next by providing a clear mathematical model of how different business levers interact.
Product Manager
Uses the Connector to prioritize the roadmap by showing which features have the highest impact on the North Star Metric.
Growth Lead
Runs what-if scenarios to see how small changes in acquisition or retention will affect the bottom line.
Startup Founder
Models growth projections to show investors how the company will scale based on specific product improvements.
Strategy Consultant
Builds complex driver trees for clients to help them identify the most critical levers for hitting their targets.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep North Star Metric Modeler connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Void -
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Tabnine -
Pieces -
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Amazon Q -
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LM Studio -
AnythingLLM -
Open WebUI -
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Cherry Studio -
LibreChat -
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Chorus -
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Vercel AI SDK
Before you connect
Questions about North Star Metric Modeler.
The practical details behind the request, access and result.
What is the North Star Metric Modeler MCP for?
It helps you map out the mathematical drivers of your business growth. You can use it to see how different parts of your product contribute to your main goal and run simulations to predict the impact of specific changes.
How can I use this for growth modeling?
You can connect it to your AI client to build a 'driver tree.' This allows your agent to calculate how improvements in one area, like engagement, ripple through to your overall North Star Metric.
Can it help me predict revenue from new features?
Yes, by using the simulation capabilities, you can ask your agent to predict how a specific feature improvement in a weighted pillar will affect your final North Star Metric, like total revenue.
How does the driver tree work in this Connector?
It's a structure where you define your main goal and break it down into pillars (like Acquisition or Retention). You assign weights to each pillar so the agent knows which ones matter most to your success.
Is this a live analytics capability?
No, this is a modeling and simulation capability. It doesn't pull live data from your app; instead, it uses the goals and weights you provide to create a data-backed roadmap for your strategy.
Can I use it to prioritize my product roadmap?
Absolutely. By identifying which levers have the biggest impact on your growth gap, you can make informed decisions on which features to build first to get the most value.
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.
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%.
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.
One connection away
Give your agent a direct line to North Star Metric Modeler.
Connect North Star Metric Modeler once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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