"Understanding Frontend and Backend Development" matching MCP servers:

Enables structured dynamic analysis of authorized Windows processes via Cheat Engine 7.7, exposing bounded tools for process inspection and debugging without arbitrary code execution or memory writes.

Enables reverse engineering and binary analysis using Ghidra, YARA, Radare2, and other tools, plus backend development assistance like project analysis, security scanning, and scaffolding.

Enables local, deterministic review of GitHub and GitLab pull request diffs for secret leaks, OWASP injection issues, WCAG 2.2 AA/EU EAA accessibility gaps, EU AI Act transparency, and database RLS risks, producing risk scores, merge decisions, committable suggestions, and SARIF exports.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.

Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.

Enables iOS reverse engineering through MCP tools that connect clients to SSH, Frida, and optional IDA for runtime inspection, app automation, decryption, debugging, and tweak development.

Provides 85 tools for binary analysis including static analysis, disassembly, decompilation, ESIL emulation, live debugging, vulnerability scanning, and exploit development through structured JSON responses over the Model Context Protocol.

An MCP server that exposes pwndbg commands running under LLDB as tools for AI assistants. This enables AI-driven binary analysis, exploit development, and reverse engineering through pwndbg's enhanced debugging capabilities.

Enables large language models to read and write IDA Pro databases through structured tool calls for reverse engineering, binary analysis, and hook development. Provides broker-based routing, SQLite-backed static caching, multi-instance analysis, and both cached and live IDA API queries.

A Model Context Protocol server designed for testing backend APIs for security vulnerabilities like authentication bypass, injection attacks, and data leakage.

Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.

The Checkmarx Security MCP server bridges your AI assistant (Claude, Cursor, Copilot, etc.) with Checkmarx One's enterprise application security platform. It exposes security workflows as natural-language-accessible MCP tools, allowing developers to scan code, investigate findings, and receive context-aware fixes without leaving their development environment.

Integrates OWASP ZAP security testing with AI assistants through MCP, enabling automated vulnerability scanning and AI-powered security analysis during development. Supports multiple scan types including active, passive, and AJAX spider scans with real-time status updates.

Enables AI assistants to drive OWASP ZAP for authorized penetration testing and bug-bounty workflows, including authenticated scans and vulnerability triage through 67 curated safety-gated tools.

MCP server for the Overlord C2 framework that gives AI agents 66+ tools for management, monitoring, debugging, and plugin development across clients, plugins, builds, users, audit logs, database, configurations, proxies, and notifications.

Exposes angr binary-analysis capabilities (symbolic execution, taint analysis, CFG recovery) as MCP tools for vulnerability exploration and exploit development.

An intelligent layered port scanning service based on MCP protocol, designed for AI assistants and development tools to perform network security analysis with real-time feedback.

AI-orchestrated security testing via 6 Python tools (recon, port scan, subdomain hunting, frontend scanning, API fuzzing, and nemesis orchestrator) exposed as MCP tools for use by AI agents.

Enables AI agents to control and analyze RFID hardware through natural language: read, crack, emulate, and clone cards via MCP tools, with safety gates, offline dump analysis, and a host-side card library.

Enables AI assistants to perform Volatility 3 memory forensics through natural language, including process and network analysis, injection detection, and shellcode extraction from memory dumps.

MCP server for Frida dynamic instrumentation, enabling AI agents to enumerate devices/processes, attach, inject JavaScript, hook functions, read memory, and collect results via MCP tools.

Builds Joern Code Property Graphs from a Git repository, local path, or pasted snippet and exposes them over MCP, letting AI agents run CPGQL queries, trace data flow and taint, slice programs, and hunt for vulnerabilities across a dozen languages. It serves both general program analysis and security work, scaling to large batches with per-CPG worker pools and a Postgres/Redis backend.

This containerized Model Context Protocol server enables AI agents and LLMs to build Joern Code Property Graphs from repositories, paths, or snippets and query them for program structure, data flow, taint tracking, slicing, and vulnerability hunting. It exposes CPGQL querying over MCP across many languages and supports scalable analysis with worker pools and a Postgres/Redis backend.

MCP server that exposes pwndbg and GDB for binary debugging, enabling memory inspection, exploit development, remote debugging, and kernel analysis.

Enables AI agents and LLMs to build Joern Code Property Graphs from repositories, local paths, or code snippets and query them over MCP, supporting CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend.

Enables advanced malware development, threat intelligence analysis, and offensive security operations through specialized tools for multi-language payload generation, obfuscation, OSINT reconnaissance, and forensic analysis. Designed for authorized penetration testing, red team exercises, and cybersecurity research with comprehensive educational capabilities.

A containerized MCP server that enables AI agents and LLMs to build and query Joern Code Property Graphs from Git repositories, local paths, or pasted snippets, exposing CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with worker pools, memory-aware scheduling, and a Postgres/Redis backend.

Enables adaptive binary 0day research with persistent knowledge graph and adaptive planning, automating vulnerability analysis and exploit development through HexStrike and local tools via MCP.