lumen-mcp

Lumen MCP analyzes JVM Flight Recorder (JFR) binary data to automatically trace exceptions and hidden errors that standard logs often overlook. By integrating tightly with the JVM, it provides developers with detailed insights into the 'why' and 'where' of failures, enabling precise troubleshooting during production incidents. This capability leverages a unique parsing engine designed specifically for JFR data, allowing for real-time analysis and visualization of incident data.

This capability pinpoints slow database queries by mapping them directly to the corresponding Data Access Object (DAO) or Mapper code in Java applications. It employs a deep integration with the database layer, capturing query execution times and correlating them with application code paths, enabling developers to identify performance bottlenecks effectively. This is achieved through a combination of bytecode instrumentation and SQL execution tracing.

Lumen MCP performs deep network I/O triage to detect latency bottlenecks in services like RDS, Redis, or external API calls. It captures and analyzes socket-level data to identify where delays occur in network communication, providing developers with actionable insights into performance issues. This capability is built on a robust network monitoring framework that tracks socket connections and their performance metrics.

This capability identifies CPU hotspots and memory allocation issues with line-level precision by analyzing the execution of Java applications. It uses a combination of bytecode instrumentation and runtime profiling to track resource usage across different parts of the code, allowing developers to pinpoint inefficiencies. The profiling data is visualized in a user-friendly format, making it easier to understand and act upon.