security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3344개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Performs open-source intelligence (OSINT) tasks leveraging common network reconnaissance tools.
Enables programmatic control of iOS simulators through the Model Context Protocol.
Automates GUI testing and control using PyAutoGUI through a Model Context Protocol (MCP) server.
Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.
Manages and interacts with mobile devices and simulators for iOS and Android development.
Provides a suite of test servers implementing the Model Context Protocol (MCP).
Enables function calling integration with Infisical APIs.
Enables interactive security operations and detection tuning within the Panther security platform.
Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.
Manages OPNSense firewalls through natural language interactions via Claude Desktop, acting as an Infrastructure as Code proxy.
Access and retrieve Solodit vulnerability reports via a Model Context Protocol (MCP) server.
Provides fast, scriptable access to Windows `.evtx` logs through a Model Context Protocol server.
Secure AI agent interactions with a zero-trust gateway and vault that manages credentials, enforces access policies, and records audit trails.
Enables parallel, multi-file, and multi-session analysis for IDA Pro in a headless server environment.
Enforces constitutional-level safety, ethical, and truth constraints on AI agent outputs at runtime using a thermodynamic constraint engine.
Orchestrates autonomous offensive security operations through an AI-driven Docker stack featuring a real-time web dashboard and over 35 integrated tools.
Integrates Kimi K2.5 with Claude Code to delegate bulk codebase analysis, significantly reducing token costs for large-context tasks.
Automates Android dynamic analysis by enabling AI to directly control Frida for reverse engineering tasks.
Automates code quality checks for AI-generated code, ensuring adherence to high standards through integrated linters, formatters, and static analysis tools.
Empowers AI agents with a pre-computed knowledge graph of codebases to drastically reduce token usage and enhance structural understanding.
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