"Methods for Categorizing Images" matching MCP servers:

Enables dynamic instrumentation of processes by attaching Frida, loading JavaScript scripts, calling RPC methods, and retrieving script output through MCP.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Enables AI assistants to perform vulnerability scanning using Grype, supporting scans of directories, container images, and packages via the Model Context Protocol.

Enables AI assistants to perform deep security audits of Java/Spring projects by searching for dangerous sink methods across built-in vulnerability profiles, inventorying project structure and dependency versions, and assessing the real exploitability of vulnerable components by layer. Results are grouped and tagged by external exposure so audits stay focused without overloading context.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

The most comprehensive steganography analysis toolkit for AI agents, providing 60 tools across 7 categories for detecting and extracting hidden data from images, audio, text, and files, all running 100% offline.

Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.

Enables agents to drive an end-to-end reverse-engineering loop on protected binaries: launch and dump live processes, rebuild memory images into file-aligned PEs with repaired imports, map Delphi RTTI methods, scan strings/entropy/xrefs, emulate code, and decompile through Ghidra or .NET. It also supports scripted live x64 and WOW64 debugging with breakpoints, registers, and module dumps exposed as callable tools.

Connects AI coding agents to security tooling so they can inspect authorized code, dependencies, container images, and infrastructure, confirm exploitability, and receive evidence-backed remediation plans.

Scans MCP servers for security vulnerabilities, prompt injection, and tool poisoning, providing risk scores and protection.

AI-Powered Red Team MCP Server enabling autonomous penetration testing via Model Context Protocol with 44+ security tools for AI agents.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.

Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.

Enables PE coordinate and RVA-based driver analysis, structured evidence collection, and direct WinDbg pairing for debugging and runtime byte comparison from Binary Ninja.

Production-grade MCP server for universal reverse engineering automation.

Enables automated security code auditing using LLM and MCP, including AST parsing, taint analysis, dataflow tracing, and automated PoC generation for multi-language codebases.

Enables LLM clients like Claude to interact with IDA Pro for binary analysis, decompilation, cross-references, patching, and more via 41 MCP tools, 8 resources, and 7 guided prompts.

Enables scanning of AI agent code for security vulnerabilities such as prompt injection, tool abuse, and data exfiltration, directly from MCP-compatible clients like Claude Code.

Connects MCP clients to a Kali Linux terminal for executing security tools and commands, enabling AI-assisted penetration testing and CTF solving.

Enables agents to inspect and automate Caido web-audit data through MCP tools, including request history, WebSockets, sitemap entries, and environments, with grouped permissions, bounded confirmations, and credential redaction for controlled operation.

Model Context Protocol server for security research automation, integrating multiple security testing tools into LLM-driven workflows for secret scanning, static analysis, and vulnerability discovery.

Headless reverse engineering MCP server integrating IDA Pro for static analysis and x64dbg for dynamic debugging via controlled MCP tools.

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.

Audits HAR captures locally with MCP tools for triage, findings, vendor blast radius, CSP generation, and sanitization—no network calls, redacted by default.

Headless MCP server for IDA Pro enabling on-demand database loading and programmatic reverse engineering workflows via MCP tools.

MCP server for Renef, providing dynamic instrumentation and reverse engineering capabilities for Android ARM64, including native hooking, Java interception, and memory manipulation.

AI-powered security scanner for Python projects and GitHub repositories. Detects vulnerabilities, secrets, and provides AI risk assessment.

npm audit for MCP servers. Point it at an MCP server and get a security grade (A–F) covering missing auth, SSRF surface, high-privilege tools, prompt-injection-prone tool descriptions, and leaked secrets.

IoT firmware CVE intelligence and PoC auto-download MCP server for AI agents, enabling vulnerability lookup, EPSS risk ranking, and PoC retrieval by firmware/component.

Offline methodology engine and payload workshop for authorized penetration testing, CTF, security research, and education via MCP.