#Idempotency MCP Servers

AI agents build fragile pipelines that fail silently, ignore rate limits, and double-process events. This prover enforces distributed systems discipline: mandatory dead-letter queues (DLQ), exponential backoff, stateful idempotency tracking, and secure credentials.

A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pipeline ran for 3 months. Silently inserting 2.4 million duplicate records and serving stale data to dashboards nobody questioned. This tool forces schema validation at boundaries, idempotent writes, freshness alerting, and end-to-end lineage tracing.