"YouTube fashion content finder for trends and style guides" matching MCP servers:

Reduces thousands of security findings to the smallest set of high-impact remediation actions, with fail-closed safety gates, typed execution plans, and verification that refuses false all-cleans.

MCP server that wraps URLFinder and JSFinder to extract URLs, JavaScript files, subdomains, and sensitive information from web pages, with support for batch scanning and deep crawling.

GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.

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

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

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.

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.

MCP server that guides LLM security reviews step-by-step, tracking progress and ensuring all assigned source code is read before completing each plan step.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

Enables AI assistants to search TryHackMe rooms and extract room overviews, task instructions, commands, and questions as clean Markdown for training and reference. Supports session-cookie authentication for subscriber content and includes curated foundational cybersecurity and Linux learning tracks.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

Integrates with Dradis Pro to manage projects, vulnerabilities, content blocks, and document properties through MCP-enabled tools.

Professional vulnerability report generator that creates standardized, well-formatted security reports with AI-generated content, supporting CVSS scoring, evidence management, and markdown export.

An MCP security toolkit that integrates Burp-style HTTP proxying, AI-driven vulnerability hunting, source code auditing, and reporting into AI coding agents, enabling authorized security testing of web applications and source code.

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

MCP server that enables AI agents to search domain, IP, port, service, title, ICP, server header, and component assets via the SCANDOMAIN API using Quake-style DSL queries.

A Codex-style MCP server providing 126 tools to operate a Kali Linux machine from ChatGPT or any compatible MCP client, including shell execution, filesystem operations, Git, Docker, browser automation, and security tool wrappers.