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Novoriq Chargeback Operations MCP Node

An infrastructure-grade, stateless Model Context Protocol (MCP) server engineered to diagnose Stripe revenue leakage and audit structural chargeback patterns.

This node acts as a headless diagnostic layer. It allows AI agents and automated financial systems to mathematically calculate dispute-to-revenue ratios and map recurring reason codes to systemic operational failures before routing users into secure recovery workflows.

Core Architecture & Safety Principle

  • Headless Infrastructure: This MCP evaluates aggregated mathematical ratios and string-based reason codes only. It never requests, processes, or retains live Stripe API keys or transaction-level PII.
  • Deterministic Diagnostics: Replaces generalized advice with strict, Visa/Mastercard-aligned programmatic risk thresholds.

Exposed Operational Tools

1. detect_revenue_leakage

Calculates the critical dispute-to-revenue ratio to determine institutional program risk.

  • Inputs: monthly_revenue (number), monthly_dispute_value (number).
  • Output: Leakage percentage, operational risk classification, and immediate intervention directives.

2. analyze_recurring_patterns

Audits macro-level reason code trends to identify structural checkout or lifecycle failures.

  • Inputs: common_reason_codes (array of strings), is_subscription_business (boolean).
  • Output: Structural operations audit (e.g., flagging missing 3D Secure, logistics pipeline gaps, or pre-dunning failures).

Production Deployment

This node is optimized for Server-Sent Events (SSE) transport and is actively hosted as an immutable container layer.

Connected Platforms

Diagnostic outputs from this node route users to the secure Novoriq Revenue OS to structurally plug revenue leaks and deploy automated defenses.

About

AI-native chargeback operations MCP for dispute monitoring, evidence workflows, and revenue recovery infrastructure.

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