MCP server for monitoring, diagnosing, and auto-correcting observability issues across platform services, integrating with Sentry and PostgreSQL for error tracking and billing pipeline health.
MCP server for investigating payment/webhook drift, classifying order status mismatches, detecting duplicate charges, and escalating findings for human review. It is read-only for payment state and does not automatically retry or correct transactions.
MCP server exposing a fictional payment domain as tools, resources, and prompts, enabling reasoning over transactions, payment hubs, services, and system health.
MCP server that helps commerce operations investigate and safely recover orders left inconsistent after captured-payment webhook failures, with atomic recovery actions and audit history.
MCP server that provides tools for retrieving transaction context and recording AI decisions or creating human reviews for payment risk exceptions. Enables LLM agents to handle exception transactions in a hybrid payment-decisioning workflow.
MCP server that analyzes AI agent execution logs to calculate reliability scores, detect failure patterns, and suggest concrete improvements for making AI agents more reliable.