Discover our curated collection of MCP servers for security & testing. Browse 3248 servers and find the perfect MCPs for your needs.
Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
Queries the CVE-Search API via a Model Context Protocol (MCP) server.
Enables testing of REST APIs through Cline by providing a configurable MCP server.
Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks.
Builds iOS Xcode workspace/project and feeds back errors to LLMs via the Model Context Protocol.
Provides programmatic control over system operations including mouse, keyboard, window management, and screen capture functionality.
Enables AI-assisted debugging workflows by integrating the LLDB debugger with Claude's Model Context Protocol (MCP).
Empowers AI Agents in reverse engineering and security testing within Kali Linux environments using a suite of MCP servers.
Exposes Jadx API over HTTP for live interaction and automation of reverse engineering workflows.
Enables natural language interaction with Auth0 management operations using Large Language Models.
Enables command and control communication with Claude using a Python server and PowerShell client.
Enables AI agents to debug Tauri applications through screenshot capture, window management, DOM access, and simulated user inputs.
Captures user intentions and behavior patterns for MCP server analytics, eliminating guesswork and accelerating product development.
Scans code repositories locally for secrets, Infrastructure as Code misconfigurations, software composition analysis vulnerabilities, and static application security testing issues.
Enables AI assistants to efficiently check dependency vulnerability and security information.
Enables AI-driven penetration testing agents and LLMs to autonomously participate in CTF challenges through a comprehensive API.
Enables AI assistants to observe and interact with command-line interfaces and terminal applications.
Scans code for vulnerabilities, detects AI-hallucinated packages, and blocks prompt injection for AI coding agents and autonomous assistants.
Enables detailed network packet analysis by integrating Wireshark's capabilities with Model Context Protocol (MCP) clients.
Provides a comprehensive library of AI skill packages, Python automation tools, and knowledge bases to empower various AI coding assistants and platforms.
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