security & testing向けの厳選されたMCPサーバーコレクションをご覧ください。2811個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Generates MySQL test data for local development environments.
Integrate and manage Devici platform data, including users, threat models, and security insights, through a Model Context Protocol (MCP) server for LLMs.
Provides a Model Context Protocol server for Keycloak administration, enabling management of users, realms, and roles through large language model interfaces.
Facilitates AI assistant interaction with the HackTheBox platform, providing programmatic access for CTF management and user activities.
Provides comprehensive Windows system and registry diagnostic capabilities to AI agents.
Facilitates structured logging of Agentic AI calls to MCP servers, enabling continuous security monitoring and automated remediation.
Monitors domain registration and SSL certificate expiration dates.
Exposes an HTTP Model Context Protocol (MCP) server using Spring Boot and Spring AI to provide custom, secured tools.
Integrates the Xray Cloud GraphQL API with Model Context Protocol (MCP) clients like Claude Code.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Empowers LLM coding assistants to accelerate development of Cortex XSIAM/XSOAR content by providing semantic search, SDK operations, and remote tenant management.
Empowers AI coding agents with browser interaction capabilities, including visual debugging, real-time error capture, and process management, to enhance development workflows.
Integrate HackTricks pentesting knowledge directly into Claude Desktop, enabling seamless search of security techniques, exploits, and payloads within your AI assistant.
Facilitates real-time interaction, debugging, and validation of REST API endpoints directly through LLM assistants.
Performs unified memory forensics using a multi-tier engine that combines Rust speed with Volatility3 coverage for comprehensive analysis.
Securely share self-destructing secrets using zero-knowledge encryption and client-side processing.
Empower large language models to conduct autonomous red teaming and internal network penetration testing.
Enables AI assistants to record, replay, and inspect program executions via GDB/MI, leveraging rr for reverse debugging.
Establishes a robust governance layer for AI agents, enforcing policies, managing credentials, and auditing interactions with external tools.
Empowers AI agents with neuro-symbolic code intelligence, learning from every query to navigate codebases efficiently.
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