@memlab/mcp-server

What it does

This MCP server wraps memlab, Meta's end-to-end JavaScript memory leak detection framework, and exposes 51 tools for AI assistants to analyze heap snapshots. It allows Claude and other coding assistants to load snapshots from Chromium-based browsers, Node.js, Electron, and Hermes, then interactively explore object references, identify leaked objects, and suggest memory optimizations through natural language queries. The server translates heap snapshot analysis—normally a manual, DevTools-heavy process—into structured tool calls that AI can reason about and act on.

Who it's for

JavaScript and Node.js engineers hunting memory leaks or optimization opportunities who want to leverage AI for heap snapshot analysis. Particularly useful for teams running Claude Code or using cursor-style editors: ask the AI assistant to load a snapshot, find what's preventing garbage collection, and explain the retainer chain in plain English—without manually digging through DevTools.

Common use cases

• Load a heap snapshot and ask Claude to identify likely memory leaks and their retainer traces
• Explore object reference chains interactively to understand why a specific object is still alive
• Compare heap snapshots before and after a code change to measure memory impact
• Find large objects consuming retained memory and suggest code fixes for detaching them
• Automate custom leak detection by asking the assistant to write and run scenario files with Puppeteer

Setup pitfalls

• The codebase contains at least one embedded secret or credential; audit before deploying to shared environments
• Heap snapshots can be large (hundreds of MB); ensure adequate disk space and memory when loading snapshots into the analysis process
• Requires filesystem read and write access to load snapshot files and cache results; sandbox carefully if running untrusted analysis
• memlab performs network calls during analysis; verify outbound network policies if operating in restricted environments