"Files" matching MCP servers:

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

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.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.

Enables users to scan MCP servers for security threats, check installed servers, and analyze config files for risks, all from AI assistants like Claude, Cursor, or Windsurf.

Enables assistants to analyze files and URLs for malware by integrating with security services like VirusTotal and ANY.RUN, returning threat reports.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

Enables security analysis of code and infrastructure files via MCP, using Symbiotic CLI for scanning vulnerabilities.

MCP server exposing LIEF for cross-format binary analysis, enabling parsing, section listing, imports/exports, disassembly, and string extraction for PE, ELF, MachO, DEX, ART, and OAT files.

MCP server for Packmate, a CTF network traffic analyzer, enabling LLMs to analyze network traffic streams, search patterns, and manage pcap files.

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 AI-powered security scanning of code changes and files through coding assistants, detecting vulnerabilities and providing fixes.

Enables AI clients to submit files, hashes, and URLs for malware analysis, retrieve results, search across AssemblyLine indices, and triage alerts, all through the Model Context Protocol.

A Python MCP server that decompiles Android APK/XAPK/JAR/AAR files and extracts HTTP APIs used by the app.

Exposes AntSword (蚁剑) shell management capabilities as an MCP server via SSE, enabling AI clients to execute commands, manage files, databases, and shells.

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.

Security scanner for AI agent skills, providing tools to scan skill files for threats such as credential theft and prompt injection.

Enables security scanning of source code and Apple configuration files, providing evidence-based findings, explanations, remediation plans, threat modeling, and knowledge base access through MCP tools.

Enables AI agents to inspect local GGUF model files for structural, template-security, companion-file, and runtime-advisory risks before deployment, returning machine-readable verdicts via seven MCP tools.

Read-only MCP server that scans Docker Compose, Cloudflare Tunnel, and .env files for security risks in self-hosted homelabs.

Integrates ProjectDiscovery's Katana web crawler with Claude Desktop, enabling users to crawl websites, discover endpoints and hidden resources, extract JavaScript files, and perform reconnaissance with customizable depth, scope, and filtering options.