"Using Ghidra for Reverse Engineering and Decompiling Software" matching MCP servers:

A Windows-local MCP server that connects natural-language engineering tasks to COMSOL, Autodesk Fusion, and LabVIEW through their official software interfaces. It lets users submit, track, and verify parametric simulation, CAD modeling, and measurement jobs as configurable tools.

Model Context Protocol server for Ghidra reverse engineering. 179 tools for decompilation, symbol management, cross-references, and binary analysis.

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

Enables MCP clients to execute Python snippets and interact with Ghidra through its PyGhidra scripting environment via a local Java plugin.

A headless Ghidra server that enables AI agents to perform deep reverse-engineering tasks such as disassembly, decompilation, and patching via the Model Context Protocol. It supports extensive automation of analysis workflows in sandboxed environments through a catalog of over 200 specialized tools.

Enables importing and auto-analyzing binaries with Ghidra's headless analyzer, then listing, decompiling, disassembling, cross-referencing, searching, and annotating them — individually or across a whole project — without requiring a running GUI or bridge plugin.

Enables reverse engineering of binaries (ELF/.so, PE, Mach-O) in-process without a GUI, exposing tools to load and analyze files, list functions, strings, imports, exports and cross-references, decompile to C, view disassembly, and rename functions, variables, labels and comments that persist across restarts. It pairs with a sibling jadx server to move from an Android app to its native libraries.

Helps LLMs write correct Ghidra scripts by providing API call-flows extracted from Ghidra's source code.

A Chrome DevTools Protocol-based MCP server that enables AI coding assistants to control browsers for JavaScript debugging, reverse engineering, web scraping, and API debugging.

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.

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.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

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.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

Enables coding agents to load NASA-derived software-engineering rules before implementation, dynamically expand them as scope changes, and enforce an evidence-based final review gate.