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。1456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。
Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.
Orchestrates AI-powered penetration testing by planning attack paths, solving CTF/HTB challenges, and automating workflows with advanced search strategies and tool recommendations.
Integrates Semgrep static analysis with AI assistants for code analysis, security vulnerability detection, and code quality improvements.
Empowers security teams with AI-driven threat intelligence analysis, identifying and attributing threats across multiple sources.
Bridges AI with penetration testing tools to guide pentesters through each phase of an engagement.
Enables memory forensics analysis using natural language by integrating the Volatility 3 framework with Large Language Models (LLMs) through the Model Context Protocol (MCP).
Manages OPNsense firewalls by enabling natural language interaction through MCP-compatible AI clients via the OPNsense API.
Provides real-time security analysis of code by connecting to the Asterisk security API.
Enables AI assistants to directly control local Whistle proxy servers through natural language interaction.
Provides a command-line interface for interacting with the Horizon3.ai API, enabling automation of autonomous pentesting workflows.
Captures screenshots and monitors console logs from web pages using Playwright, serving as a Model Context Protocol (MCP) server.
Securely stores and retrieves API keys using the macOS Keychain, accessible across projects via the Model Context Protocol (MCP).
Provides a secure, multi-tenant Model Context Protocol (MCP) server framework for modern AI application development.
Integrates Wireshark/tshark to provide network packet capture and analysis capabilities via a Model Context Protocol server.
Analyzes claims, validates sources, and detects manipulation using multiple epistemological frameworks.
Analyzes C# code using the Roslyn compiler platform to validate files, find symbol references, and perform static analysis.
Enables large language models to interact with GDB for binary debugging and analysis.
Injects environment variables into Cursor MCP server definitions.
Enables AI tools to orchestrate the complete performance-test lifecycle within BlazeMeter, managing tests, workspaces, projects, and accounts.
Integrates Wazuh security data with Large Language Models, providing real-time security context.
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