memlab
A framework for finding JavaScript memory leaks and analyzing heap snapshots
MemLab MCP server exposes JavaScript memory leak detection and heap analysis capabilities to AI coding assistants like Claude Code, Cursor, and Windsurf through the Model Context Protocol. The server wraps MemLab's comprehensive heap analysis APIs, enabling assistants to interactively load heap snapshots, trace object retention paths, identify detached DOM nodes, and investigate memory optimization opportunities via natural language. Developers can integrate it into their AI workflow to debug memory issues in Chromium, Node.js, Electron.js, and Hermes applications without switching contexts.
Key Features
Use Cases
- 01Debug JavaScript memory leaks in web applications by asking an AI assistant to analyze heap snapshots
- 02Investigate why specific objects aren't being garbage collected in Node.js services
- 03Identify detached DOM nodes causing memory bloat in single-page applications
- 04Find memory optimization opportunities by analyzing object retention patterns with AI assistance
- 05Trace object reference chains interactively to locate which references should be nullified
- 06Analyze heap snapshots from production Electron apps to diagnose memory growth issues
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memlab — FAQ
What is the MemLab MCP server?+
The MemLab MCP server is a Model Context Protocol implementation that exposes JavaScript heap analysis and memory leak detection tools to AI coding assistants. It allows assistants like Claude Code, Cursor, and Windsurf to interactively load heap snapshots, find leaks, and investigate memory issues through natural language conversation.
How do I install the MemLab MCP server?+
Install globally with 'npm install -g @memlab/mcp-server', then add the server configuration to your AI client's MCP config file (~/.claude.json for Claude Code or .mcp.json for Cursor/Windsurf). Alternatively, use npx to run it without installing globally.
Which AI clients work with the MemLab MCP server?+
The MCP server works with Claude Code, Cursor, Windsurf, and any other AI coding assistant that supports the Model Context Protocol. The README specifically mentions these three as tested clients.
Do I need API keys or special prerequisites?+
No API keys are required. You need Node.js version 16 or above installed, and sufficient memory is recommended (the examples set NODE_OPTIONS to --max-old-space-size=8192 for 8GB heap). You'll also need heap snapshot files (.heapsnapshot) from your application to analyze.
Is the MemLab MCP server free to use?+
Yes, MemLab and its MCP server are open source and released under the MIT License, making them free for both personal and commercial use.
What heap snapshot formats does it support?+
The MCP server can analyze .heapsnapshot files from Chromium-based browsers (Chrome, Edge), Node.js, Electron.js, and Hermes (React Native's JavaScript engine). These are V8 and Hermes heap snapshot formats.
How do I install memlab?+
Open the source repository on GitHub and follow its README. memlab is a mcp server — MCP Agents Market links you directly to the official repo.
Is memlab free?+
memlab is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.