📡 MCP Radar

MCP servers for usage-based-billing

10 Model Context Protocol servers tagged usage-based-billing, ranked by stars. Updated daily. Browse all servers →

alphaparkinc/genpark-customer-health-credit-burn-tracker-skill

Real-time prepaid credit burn velocity tracker calculating runway days, health scores, and upsell triggers inspired by Metronome

⭐ 7Python
alphaparkinc/genpark-usage-based-billing-metering-engine-skill

Real-time usage event ingestion, multi-tier metric aggregation, and precise invoice calculation engine inspired by Metronome

⭐ 7Python
alphaparkinc/genpark-pricing-model-iteration-simulator-skill

Side-by-side seat-based, usage-based, and hybrid pricing revenue simulator with elasticity scoring inspired by Metronome

⭐ 7Python
Alpha-Park/genpark-usage-based-billing-metering-engine-skill

Real-time usage event ingestion, multi-tier metric aggregation, and precise invoice calculation engine inspired by Metronome

⭐ 7Python
Alpha-Park/genpark-customer-health-credit-burn-tracker-skill

Real-time prepaid credit burn velocity tracker calculating runway days, health scores, and upsell triggers inspired by Metronome

⭐ 7Python
Alpha-Park/genpark-pricing-model-iteration-simulator-skill

Side-by-side seat-based, usage-based, and hybrid pricing revenue simulator with elasticity scoring inspired by Metronome

⭐ 7Python
Alpha-Park/genpark-billing-spend-anomaly-guard-skill

Real-time spend clarity anomaly detector identifying runaway agent token burn spikes with statistical Z-scores

⭐ 7Python
Alpha-Park/genpark-multidimensional-pricing-matrix-engine-skill

Multi-dimensional pricing matrix evaluator resolving dynamic pricing rates across region, SLA tiers, and commitments

⭐ 7Python
alphaparkinc/genpark-multidimensional-pricing-matrix-engine-skill

Multi-dimensional pricing matrix evaluator resolving dynamic pricing rates across region, SLA tiers, and commitments

⭐ 7Python
alphaparkinc/genpark-billing-spend-anomaly-guard-skill

Real-time spend clarity anomaly detector identifying runaway agent token burn spikes with statistical Z-scores

⭐ 7Python

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