Discover our curated collection of MCP servers for security & testing. Browse 3259 servers and find the perfect MCPs for your needs.
Enables AI models to securely interact with a terminal environment.
Analyzes website performance using Google's PageSpeed Insights API for detailed metrics and optimization suggestions.
Facilitates testing of Model Context Protocol (MCP) server implementations.
Connects LLMs to DefectDojo, enabling AI-powered security workflows through a Model Context Protocol server.
Provides a standardized interface for AI agents to interact with Commvault software.
Optimizes Vitest testing for AI assistants by providing structured output, visual debugging context, and intelligent coverage analysis.
Exposes project-specific development tools like linters and tests to coding agents via a simple YAML configuration, enabling easy setup, execution, and sharing.
Connects Claude to LM Studio for local AI-powered code analysis, generation, and creative tasks.
Integrates secure coding practices into AI development environments, preventing security vulnerabilities.
Enables AI-driven reverse engineering and process interaction by injecting an MCP server directly into target processes on Windows.
Provides comprehensive SQLite database operations, enabling AI assistants to interact with local databases safely and efficiently.
Facilitates AI-assisted analysis of Windows digital forensics artifacts through a Model Context Protocol server.
Provides a production-ready Cypress automation framework for modern web application testing, integrating UI, API, accessibility, and visual regression capabilities.
Binds local AI capabilities with governance protocols to create a sovereign, self-aware agent operating entirely on your machine.
Provide real-time safety guardrails for Large Language Model (LLM) applications with sub-millisecond latency.
Teaches AI assistants comprehensive Magento 2 coding standards to ensure compliant and secure code generation across various themes.
Unifies 37 OSINT tools and 12 data sources into a single Model Context Protocol server for AI agents.
Provides a high-performance, concurrent, and authenticated interface for AI agents to interact with Kali Linux security tools.
Automates red team operations and internal network penetration with an AI-driven framework that integrates over 15 security tools.
Provides a persistent memory and context layer for AI agents, enforcing architectural integrity and code quality through deterministic rules.
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