Discover our curated collection of MCP servers for security & testing. Browse 2956 servers and find the perfect MCPs for your needs.
Analyzes web accessibility and simulates color blindness for web pages using axe-core and Puppeteer.
Enables LLMs and other Model Context Protocol (MCP) clients to interact with HashiCorp Vault for secure secret and policy management.
Provides plug-and-play authentication for Model Context Protocol (MCP) servers.
Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.
Securely executes arbitrary JavaScript code within a sandboxed QuickJS engine using Node.js WASI.
Executes JavaScript code within isolated Docker containers, enabling dynamic npm dependency installation for secure and efficient code execution.
Provides access to the URLhaus malicious URL database from abuse.ch for threat intelligence.
Transforms penetration testing into an intelligent, automated, and secure process.
Provides a server for fetching SonarCloud issues related to pull requests, enabling automated code quality checks.
Provides a production-ready OAuth 2.1 authorization server and MCP server with real-time analytics and threat detection for MCP clients.
Provides extensive network probing and diagnostic capabilities from multiple global vantage points.
Provides OPNsense API functionality through a Model Context Protocol (MCP) interface, enabling interactive network and system management.
Provides a deterministic runtime governance layer that monitors risk signals and adjusts constraints to keep AI systems operating within safe boundaries.
Performs AI-powered, full security checks using a dockerized pentesting suite.
Enables secure read-only access to MySQL databases, allowing AI assistants to explore schemas and run analytical queries safely.
Connects to SAP SuccessFactors to query and manage data, configurations, and security permissions via OData APIs.
Detect, fingerprint, and assess WAF security posture with quantitative metrics.
Provides a security-first execution platform for AI agents, enforcing 12 robust security layers and supporting 5 different AI backends.
Empower AI to visually verify and refine frontend code against designs, ensuring pixel-perfect implementation through an automated, iterative feedback loop.
Enforces engineering discipline in AI-assisted software development, automating TDD, security, and deployment for production-ready code.
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