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.
Token-efficient MCP server for multi-language project analysis (Java, TypeScript, JavaScript, Markdown, Python) with plugins, semantic search, and static analysis.
MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.
An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents, enabling them to analyze CPU consumption, call trees, GC pressure, and async bottlenecks.
A TypeScript MCP server that enables AI assistants to create, manage, and manipulate 'crystals' - structured data containers for storing complex analysis, code, and knowledge that can be exported and reimported across different AI conversations.