Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Analyzes code repositories and performs security assessments using the Model Context Protocol (MCP).
Provides a deterministic runtime governance layer that monitors risk signals and adjusts constraints to keep AI systems operating within safe boundaries.
Provides LLMs with persistent, intelligent memory storage tailored for security-focused tasks like penetration testing and exploit development.
Integrates local Large Language Models with MCP tools for autonomous, offline AI agents callable via Python.
Automates multi-layered security analysis of codebases using AI-driven insights and static analysis rules.
Facilitates document request management as a Model Context Protocol server for the DocDocDoc API.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Manages information security through risk assessment, policy enforcement, and incident tracking, enhanced by AI.
Enables LLM agents to safely execute arbitrary Python code in a secure, throw-away sandbox.
Locates the nearest error in JavaScript bundles (without sourcemaps) and leverages an LLM to check for codebase matches.
Establishes a foundational AI kernel to serve as the execution, reasoning, orchestration, and governance core for domestic, enterprise, and sovereign AI systems.
Analyzes code statically, potentially for security vulnerabilities or code quality issues.
Integrates Ghidra's powerful reverse engineering capabilities with GPT-5 AI technology through the Model Context Protocol (MCP) into a professional-grade Windows service for automated, intelligent binary analysis workflows.
Safeguards your codebase by preventing the execution of harmful Git and filesystem commands.
Provides a comprehensive Model Context Protocol server for MySQL databases, enabling AI assistants and LLMs to perform advanced database management and diagnostics.
Builds production-ready Model Context Protocol (MCP) servers with comprehensive infrastructure for AI assistant integration in Rust.
Provides a modular, secure, and zero-configuration backend solution for Go applications, managing features like authentication, encryption, and logging.
Provides a catalog of AI agent attack vectors and proof-of-concept exploits.
Provides real-time memory scanning and analysis for Windows processes, enabling AI agents to interact with system memory via MCP or an HTTP API.
Connects to servers securely through an SSH Gateway to execute commands with robust access control and Kerberos authentication.
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