security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1651개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Identifies and analyzes MESH by Viscount systems for default credential vulnerabilities.
Manages Windows Sandbox instances through the Model-View-Controller (MCP) protocol on Windows 11 24H2 and later.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Leverages AI to analyze wallet behavior, predict fraudulent activities, and detect potential rug pulls in Web3 environments.
Integrates OpenAPI specifications with Hurl to empower AI models for automated API testing and documentation.
Provides enterprise-grade, security-hardened Chrome automation for AI agents with robust compliance-ready logging.
Provides a secure, standardized interface for AI agents and applications to interact with MySQL databases.
Offers an interactive web console for comprehensive testing and validation of Model Context Protocol (MCP) client implementations.
Provides unified secrets management for HashiCorp Vault and Mozilla SOPS via Model Context Protocol.
Empowers AI agents to run industry-standard auditing tools directly on your local machine for proactive code security and compliance.
Demonstrates creating an MCP server that enforces OAuth 2.0 authentication for its tools and resources.
Integrates a suite of Open-Source Intelligence (OSINT) tools for AI assistants to conduct reconnaissance and information gathering.
Crawls Tor onion sites and extracts their content as a Model Context Protocol server.
Automatically validates, secures, and estimates cloud costs for Terraform configurations.
Enables MCP-compatible IDEs and agents to provision, manage, and poll ProjectDiscovery Interactsh sessions for out-of-band interaction detection.
Integrates AI assistants with Google Cloud's Compliance Manager to automate security and regulatory compliance tasks.
Analyzes client stock portfolios with high precision, secures financial data with RS256 encryption, and provides personalized guidance through an avatar-driven AI assistant.
Validates website health across performance, accessibility, SEO, and security dimensions using 11 integrated testing tools.
Provides LLMs with persistent, intelligent memory storage tailored for security-focused tasks like penetration testing and exploit development.
Creates a transparent, inspectable decision layer using McCulloch-Pitts neurons to bridge the 'black box' problem of neural networks for safety-critical and regulated AI.
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