MCP For Claude Marketplace
North Star Metric Derivation

North Star Metric Derivation MCP Connector for Claude

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Decompose high-level value into a structured North Star Metric hierarchy.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a strategic framework to bridge the gap between raw data and strategic direction. It allows AI agents to decompose high-level value delivery into a structured hierarchy of North Star Metrics (NSM), including mathematical formulas, metric trees, and leading indicators. Use derive_nsm_structure to generate the complete decomposition, analyze_segment_alignment to validate segment value, identify_leading_indicators to find predictive metrics, and validate_growth_engine_fit to ensure strategic compatibility with your growth model.

metricsnorth-stargrowthframeworkbusiness-intelligence

4 tools expose this connector's capabilities to your AI agent.

analyze_segment_alignment

Evaluates how well the proposed NSM captures value across different customer segments

derive_nsm_structure

Generates the complete strategic decomposition of the North Star Metric

identify_leading_indicators

Isolates specific, actionable metrics that act as early warning signs for the NSM

validate_growth_engine_fit

Ensures the derived NSM is compatible with the selected growth model and business type

See how to talk to your AI agent using North Star Metric Derivation.

Generate a North Star Metric structure for a subscription SaaS where the value is monthly active users.

The North Star Metric formula is Monthly Active Users (MAU). The hierarchy includes Daily Active Users (DAU) as a leading indicator and feature engagement rates as input metrics.

Check if my NSM formula is compatible with a viral growth model.

The formula is compatible with the viral growth model as it captures the user loop and sharing frequency required for expansion.

Find leading indicators for a marketplace NSM based on transaction volume.

The primary leading indicators are successful match rates between buyers and sellers and the average time to complete a transaction.

The tool uses a decomposition framework to transform input metrics into a logical NSM formula and a multi-tiered hierarchy of leading indicators.

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