Discover our curated collection of MCP servers for security & testing. Browse 1772servers and find the perfect MCPs for your needs.
Provides a catalog of AI agent attack vectors and proof-of-concept exploits.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Enables MCP-compatible IDEs and agents to provision, manage, and poll ProjectDiscovery Interactsh sessions for out-of-band interaction detection.
Enables AI agents to perform precise, secure, and quality-controlled file modifications using a block-based patching format.
Securely share encrypted secrets that automatically self-destruct after viewing or a set time.
Extends the Sliver C2 framework with a Python-based command and control server for advanced operations.
Automates banner grabbing by sending requests to Binoculo and processing the responses.
Transforms single-attempt code generation into a multi-attempt, test-validated refinement loop, leveraging LLMs for robust software development.
Verify the functionality and discover capabilities of Model Context Protocol (MCP) servers using a dedicated testing environment.
Secures AI agents by detecting vulnerabilities, verifying governance declarations, and generating compliance reports for regulatory frameworks.
Provides a secure shell and code execution sandbox environment for AI agents.
Logs contact events with authorities, providing rate limiting and persistent storage via Supabase.
Executes shell commands with permission notifications through the Model Context Protocol.
Automate feature management operations by interpreting natural language support requests using advanced AI.
Facilitates AI assistant interaction with Automox for managing devices, policies, and user accounts through high-level workflows.
Performs comprehensive code quality and security analysis for Python backend development, delivering consistent and actionable reporting.
Automatically fixes broken Selenium test locators when UI changes occur, reducing test maintenance overhead.
Empowers AI agents with comprehensive control over a local Windows PC, offering capabilities like vision, hearing, manipulation, and automation.
Provides secure access to Kali Linux web penetration testing tools for AI assistants in a controlled Docker environment.
Enables AI assistants and development tools to interact with Apple's development ecosystem for building, testing, running, and managing projects.
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