Descubre nuestra colección curada de servidores MCP para security & testing. Explora 3388 servidores y encuentra los MCP perfectos para tus necesidades.
Analyzes code and provides intelligent suggestions using OpenAI's GPT models within the Cursor IDE.
Automates browser interactions with enhanced features like stealth mode to avoid bot detection.
Provides Model Context Protocol (MCP) servers for interacting with various services.
Scans files for viruses using the ClamAV engine through a simple MCP server.
Enables AI assistants to compile, test, run, and analyze Go code directly through the Model Context Protocol (MCP).
Serves as a high-volume test server for evaluating semantic tool search capabilities and client resilience.
Transforms natural-language security requirements into production-ready Cerbos YAML policies for AI agent and application governance.
Statically analyze Android applications and SDKs to detect privacy-related behaviors and ensure compliance, augmented by AI model capabilities.
Filters verbose shell command output to conserve AI agent context and highlight critical information.
Provides enterprise-grade, security-hardened Chrome automation for AI agents with robust compliance-ready logging.
Decompile Java class and JAR files using CFR for source code analysis and integration into agent workflows.
Provides domain intelligence by enabling searches for newly registered domains and nameserver reverse lookups through MCP-compatible clients.
Empower AI assistants with deep npm package analysis, including security checks, bundle size insights, compatibility validation, and code example generation.
Provides AI coding analytics, real-time monitoring, and rule enforcement for Claude Code and other AI coding assistants.
Provides secure, read-only semantic and text search capabilities for Obsidian vault notes to AI clients like Claude Code via the Model Context Protocol.
Provides a universal AI security layer for content moderation, PII protection, injection defense, and comprehensive audit logging.
Orchestrates, audits, and analyzes your entire development stack, simplifying project management and enhancing developer experience.
Empowers AI assistants to control Tracecat SOAR platform operations through natural language, managing workflows, actions, cases, and more.
Enables AI agents and Large Language Models to natively control, automate, and debug Chromium-based browsers via the Chrome DevTools Protocol.
Automates the GitLab merge request lifecycle through multi-agent AI for adversarial code review, automated fix application, and intelligent MR creation.
Scroll for more results...