Discover our curated collection of MCP servers for security & testing. Browse 1442servers and find the perfect MCPs for your needs.
Provides comprehensive email security analysis capabilities to Claude Code through a secure, containerized Model Context Protocol server.
Identifies and analyzes MESH by Viscount systems for default credential vulnerabilities.
Provides a secure Model Context Protocol service for SQL Server, enabling safe query execution, schema discovery, and routine management.
Provides cryptographically secure random number generation for AI applications, LLMs, and other systems requiring high-quality randomness.
Analyzes client stock portfolios with high precision, secures financial data with RS256 encryption, and provides personalized guidance through an avatar-driven AI assistant.
Provides a smart, real-time command execution system for Kali Linux, adhering to the Model Context Protocol (MCP) standard.
Executes code within isolated container or virtual machine environments.
Provides a reference implementation for a Zero Trust Agentic Access-based server.
Automates container image vulnerability patching through a Model Context Protocol (MCP) server.
Provides secure access to Kali Linux web penetration testing tools for AI assistants in a controlled Docker environment.
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.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Empowers AI assistants with direct access to browser DevTools, React state, and runtime debugging capabilities for frontend applications.
Empowers Large Language Models with comprehensive open-source software compliance and vulnerability analysis through the SEMCL.ONE toolchain.
Provides enterprise-grade security analysis with dynamic rule management and hot-reload capabilities.
Enables AI clients to delegate development tasks to autonomous developer teams using Goose CLI subagents.
Transforms a Dify application into a Message Communication Protocol (MCP) server endpoint.
Transforms the Gemini CLI into an expert software architect, enforcing rigorous engineering standards based on a curated library of technical references.
Facilitates the creation of mock data for MCP server development and testing.
Enforces organizational policies on AI coding agents by validating their commands, file operations, and code changes in real-time.
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