"Reverse engineering or reverse direction search" matching MCP servers:

Enables decompilation and reverse engineering of Java JAR files through multi-engine decompilation, candidate evaluation, Maven project structuring, AST-based deobfuscation, and bytecode comparison.

A self-evolving JavaScript reverse engineering workflow MCP server that automates deobfuscation through evolutionary algorithms, integrating MemOS, GitNexus, and Stagehand.

Chrome browser JS reverse engineering MCP tool for CTF/Web security, enabling dynamic analysis and restoration of login encryption logic.

An anti-detection browser MCP server designed for JavaScript reverse engineering through the Camoufox engine. It enables AI assistants to perform dynamic debugging, function hooking, and network interception while bypassing sophisticated bot detection mechanisms.

A sandboxed MCP tool for reverse engineering that provides a unified interface to various reverse engineering tools with security restrictions.

Enables AI coding assistants to debug and analyze JavaScript code in web pages through breakpoint debugging, function hooking, network analysis, and runtime inspection of scripts including minified code.

A Model Context Protocol (MCP) server that detects cryptographic algorithms, identifies obfuscation, reconstructs standalone implementations, generates SDKs, and bypasses anti-debugging.

Computes fixed divination and astronomy facts for any moment — Liu Ren charts, Qimen Dunjia layouts, symbolic stem-branch directions, and the real geometric position of the Big Dipper at a given latitude/longitude — alongside multiple named birth profiles. It also assembles day-by-day candidate windows for a chosen purpose across a 1–7 day range or a full calendar year, accumulating model-filled verdicts into an offline, month-switchable HTML calendar with a local browser preview.

An MCP server for JavaScript reverse engineering that enables AI to perform browser debugging, script analysis, and automated hook injection. It streamlines complex workflows like deobfuscation, network tracing, and risk assessment through direct browser integration.

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

Lets AI agents gate actions before they happen with allow/ask/deny verdicts, rank up to 255 options, and report decision stats.

Enforces team engineering standards across Git, code review, Rails, frontend, deployment, incidents, observability, API design, database, ADRs, and technical debt, with tools for branch name and commit message validation.

Enables local engineering workflow management by consolidating tickets, QA evidence, time tracking, root cause investigation, knowledge, and reporting into a single SQLite database, allowing generation of complete ticket packages for handoffs, dailies, or career evidence.

27 deterministic engineering compliance and calculation tools for the built environment (data-centre PUE and EED, EPBD, NIS2, Eurocode, UAE compliance), callable by AI agents via MCP and REST API. Free tier; every result cites the governing standard.

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

An MCP server that exposes three tools for auditing, scaffolding, and triaging agent intent specs against a unified template, helping prevent intent failures in AI agents.

An MCP server that gives an AI assistant a set of real mechanical-engineering tools. Provides deterministic tools like material properties, beam analysis, unit conversion, and curve fitting for engineering calculations.

Enables AI agents to generate, view, and analyze engineering diagrams (RF, PCB, EMC) in draw.io using natural language prompts, with auto-layout and 269 engineering stencils.

Enables searching and browsing a curated matrix of 100+ engineering tools by name, tag, or use case, and retrieving ready-to-use boilerplate files for 30+ popular stacks.

Automates Cole Medin's context engineering methodology to generate high-quality Product Requirements Prompts (PRPs) by analyzing existing codebases, asking contextual questions, and synthesizing insights.