A Model Context Protocol server that connects AI agents to live Java processes via Alibaba Arthas, enabling real-time diagnostics, debugging, and performance analysis without code changes.
MCP server for profiling Java applications via JDK utilities (jcmd, jfr, jps). Enables AI assistants to diagnose performance, analyze threads, and inspect JFR recordings without manual CLI usage.
Lets AI agents diagnose and debug live Java applications by auto-discovering JVMs and attaching Arthas to run diagnostic commands like thread, trace, watch, and ognl.
Hybrid TypeScript/Java MCP server for analyzing JVM Flight Recorder files, enabling AI agents to diagnose exceptions, slow SQL, network latency, and performance bottlenecks.
MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.
MCP server for analyzing Android APK, DEX, or JAR files via a headless jadx engine, enabling LLM agents to query decompiled code, symbols, call graphs, and more.