Discover our curated collection of MCP servers for security & testing. Browse 2702 servers and find the perfect MCPs for your needs.
Provides secure terminal access for Large Language Models (LLMs) with controlled command execution and resource limits.
Highlights potential security risks associated with using tools within the Model Context Protocol (MCP) framework.
Automates web application testing workflows within AI coding assistants via natural language prompts.
Implements a reference authorization server based on the draft MCP OAuth 2.1 specification.
Provides a template for creating an MCP server in VS Code.
Provides a server for managing secrets used in conjunction with large language models and related tools.
Facilitates API exploration and testing using Swagger/OpenAPI documentation through an MCP server.
Provides AI assistants with programmatic control over Hoverfly for dynamic API mocking and simulation.
Integrates with Authentik API via the Model Context Protocol, offering both full CRUD and diagnostic capabilities for identity and access management.
Integrates Google Gemini CLI with Claude Code for AI-powered development assistance via a Model Context Protocol server.
Provides powerful inspection and interaction tools for connected Android devices and emulators.
Enables AI assistants to interact with security data pipelines and map security data to the Open Cybersecurity Schema Framework (OCSF).
Automates and enhances binary analysis for cybersecurity professionals by integrating Ghidra's reverse engineering capabilities with GPT-5 AI technology.
Provides an official Model Context Protocol (MCP) interface for the CyberEdu CTF platform, enabling automated interaction with its cybersecurity training and contest features.
Enables LLM agents to securely access remote servers via SSH with read-only shell capabilities.
Enables AI agents to perform comprehensive network security assessments using Nmap's industry-standard scanning capabilities.
Automates the process of generating and shipping tested pull requests from GitHub issues using a transparent, trust-scored multi-agent pipeline.
Empowers AI assistants to navigate and comprehend Keycloak's source code for accelerated SPI and custom extension development.
Provides a persistent, intelligent memory layer for AI applications.
Unifies, debugs, and secures AI agent cognitive state across diverse frameworks, ensuring seamless memory portability.
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