Deobfuscate FAQs

Question 1

Is Deobfuscate suitable for large JavaScript bundles?

Accepted Answer

Yes, it accepts input files up to 50MB. While unbundled modules are cached in memory, users should be mindful of potential RAM usage for extremely large bundles (hundreds of MBs unpacked) depending on their environment.

Question 2

How does Deobfuscate improve LLM interaction with minified code?

Accepted Answer

It treats minified code as a searchable database, allowing LLMs to de-obfuscate and unbundle code, access high-level architectural summaries, fetch specific modules or symbols on-demand, and perform semantic searches across the codebase. This significantly optimizes LLM context usage.

Question 3

What is Deobfuscate?

Accepted Answer

Deobfuscate is an LLM-Optimized Model Context Protocol (MCP) server that helps Large Language Models (LLMs) reverse-engineer, navigate, and comprehend minified and bundled JavaScript code more effectively than traditional beautifiers.

Question 4

How can I integrate Deobfuscate with my LLM client?

Accepted Answer

You can install it globally via npm (`npm install -g deobfuscate-mcp-server`) and then configure it with your LLM client (e.g., Claude, Gemini CLI, Antigravity) by adding it as an MCP server using the provided client configuration commands.

Question 5

What are the main capabilities of Deobfuscate?

Accepted Answer

Key features include de-obfuscating and unbundling JavaScript bundles, providing high-level structural summaries (functions, classes, exports), on-demand fetching of modules or specific symbols, generating function call graphs for dependencies, and powerful semantic searching using regex or strings.

Deobfuscate

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Key Features

Use Cases

Key Features

Use Cases