Discover our curated collection of MCP servers for security & testing. Browse 1444servers and find the perfect MCPs for your needs.
Automates browser interactions for Large Language Models (LLMs) using Playwright.
Orchestrates multiple AI models to enhance Claude's capabilities for advanced code analysis, problem-solving, and collaborative software development.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Enables Large Language Models (LLMs) to autonomously reverse engineer applications by exposing Ghidra's core functionality through an Model Context Protocol (MCP) server.
Collects, stores, distributes, and shares cybersecurity indicators and threats.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript execution.
Facilitates adversary simulation and red team operations through a flexible platform with integrated AI.
Empowers AI agents with autonomous offensive cybersecurity capabilities by integrating over 70 professional security tools.
Enables vibe reversing in IDA Pro through a Model Context Protocol server.
Provides an all-in-one, intelligent automation testing solution for API, UI, and performance testing across multiple platforms.
Collects and aggregates domestic enterprise information from various sources to aid in reconnaissance tasks.
Enables secure execution of untrusted user-generated code and AI code.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Enables scalable mobile automation through a platform-agnostic interface for interacting with native iOS/Android applications and devices.
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
Enables AI assistants to interact with Google Gemini CLI, leveraging its massive token window for large file analysis and codebase understanding.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Enables interaction with iOS simulators for tasks like UI inspection, UI interaction, and screenshot capture.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
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