memory-leak-detection

To detect memory leaks in a Node.js MCP server, use static analysis to identify unbounded caches and event listener leaks, alongside runtime profiling with heap snapshots to measure memory usage under load and pinpoint exact leak sources.

Memory leaks in Node.js and TypeScript applications are commonly caused by unbounded caches, event listener leaks, and closure captures. Identifying these patterns through code architecture review and memory monitoring helps prevent performance degradation and outages.

You profile memory usage under load by running runtime diagnostics to measure memory growth and capturing heap snapshots. This localized profiling detects memory leaks by revealing retained objects and abnormal memory allocation patterns during execution.

Yes, this memory leak detection approach is designed to work with clinic.js and v8 dependencies. It leverages these tools for runtime profiling and heap snapshot analysis to effectively identify and localize memory leak patterns in Node.js servers.

You fix unbounded caches and event listener leaks in Node.js by applying remediation templates provided after leak localization. These templates offer targeted code fixes for common memory leak patterns to stabilize server performance.