Building an MCP Server for Java Performance Profiling

I built javaperf - an MCP (Model Context Protocol) server that lets AI assistants profile Java applications without touching the command line. If you've ever debugged Java performance issues, you know the drill: jps , jcmd , jfr ... memorizing flags, parsing output. What if your AI assistant could do this for you? What is MCP? Model Context Protocol (MCP) is a standard for connecting AI assistants to external tools. Instead of AI just generating code suggestions, it can actually: Run diagnostics on your running Java apps Analyze thread dumps Inspect JFR recordings All through natural conversation javaperf Features Process Discovery : Auto-detect running Java processes via jps Thread Analysis : Dump and analyze threads ( jcmd Thread.print ) VM Flags : Inspect JVM configuration JFR Support : Record and analyze Java Flight Recorder data Performance Counters : Access low-level JVM metrics Installation npm install -g javaperf Or use directly via npx (no install needed): npx javaperf Connect