"author:hanifalkauni" matching MCP servers:

Enables AI coding assistants to inspect OpenAPI specs, fuzz live REST endpoints with boundary and adversarial vectors, replay failing anomalies deterministically without AI tokens, and scaffold OpenAPI specs from source routes.

Provides MCP tools to convert Confluence PRD pages to Markdown, preserving nested tables, Jira macros, attachments, and comments for AI agents.

Enables AI coding agents to perform deterministic database architecture audits and performance engineering for PostgreSQL and MySQL, covering migration analysis with schema health scoring, ESR-based composite index recommendations, N+1 query detection, EXPLAIN plan diagnosis, transaction and deadlock analysis, partitioning and archival design, and capacity or configuration tuning. It also generates phased Expand & Contract runbooks that turn blocking DDL into zero-downtime production migrations.

Enables autonomous context window management, prompt caching, token optimization, and real-time observability for AI coding agents across multiple IDEs, reducing token costs and improving performance.