security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2956개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a suite of Git repository browsing and analysis tools accessible via the Model Context Protocol (MCP).
Retrieves the latest cybersecurity news from various websites for integration with Claude Desktop.
Provides a custom server with tools for generating prompts, issuing commands, listing repositories, and running tests.
Enables seamless browser automation for Claude Code, featuring intelligent caching, AI-aware selector resolution, and persistent sessions via Playwright.
Provides high-performance API and Model Context Protocol (MCP) server for robust validation of Mermaid diagrams with comprehensive security.
Integrates Pytest with AI assistants via a Model Context Protocol (MCP) server for automated desktop application testing.
Automates and enhances GitHub pull request code reviews by leveraging AI for analysis, suggestions, and standards compliance.
Manages and automatically refreshes Feishu application and user access tokens for seamless API integration.
Enables AI assistants to perform Swift code audits and detect unused code in iOS/macOS projects.
Isolate processes with OS-native filesystem and network controls, offering a lightweight security solution without containers or virtual machines.
Integrates Palo Alto Networks' Prisma AI Security with Claude Desktop to provide real-time threat detection for AI interactions.
Distinguishes real network services from honeypot emulators by analyzing statistical fingerprints of TCP response times.
Provides a governance platform for AI agents to scan for policy gaps, enforce rules in production, and audit tool calls.
Detects and evaluates compliance with EU AI Act requirements in codebases through static analysis.
Establishes the first native CFML MCP system, integrating an MCP+MoE+LLM agent with robust API key management and rotation for modern CFML development.
Connects AI assistants to a comprehensive suite of IP intelligence, timezone, astronomy, and user-agent parsing APIs.
Exposes Microsoft PyRIT's AI red-teaming capabilities as structured tools for real-time, LLM-orchestrated adversarial testing.
Facilitates AI agent interaction with on-chip debug probes, enabling conversational control over embedded targets for flashing, debugging, and inspection.
Provides a comprehensive suite of 51 specialized tools for security testing across various domains including penetration testing, forensics, and vulnerability assessment.
Automates AI-driven Android dynamic analysis by controlling Frida for streamlined reverse engineering.
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