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。3259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。
Enables AI assistants to interact with blockchains securely, allowing users to maintain control over transaction signing.
Enables debugging of Go programs through integration with the Model Context Protocol (MCP).
Provides secure SSH access and interaction with remotely installed Model Context Protocol (MCP) tools through a unified interface.
Automates complex iOS development workflows by enabling AI assistants to interact with iOS simulators, manage applications, and perform accessibility testing.
Provides an MCP server for comprehensive RTL waveform analysis using the Waveform Analysis Language (WAL).
Enables AI assistants to interact with the Sauce Labs testing platform, managing device clouds, test jobs, and infrastructure through natural language.
Provides AI assistants with access to Storybook components, stories, properties, and screenshots for enhanced interaction and analysis.
Integrates AI agents with Commvault environments to manage job details, commcell metrics, client and storage information, user permissions, plan configurations, and backup schedules.
Automates comprehensive security analysis and vulnerability detection for Android APKs.
Empowers security engineers and bug bounty hunters with an AI-powered assistant for manual web penetration testing.
Provides a lightweight debugger for learning and experimentation with Windows executables, integrated with an MCP server for AI-driven control.
Provides temporary, service-scoped AWS credentials to AI agents, enhancing security and limiting access.
Enables AI agents to interact with Bluetooth Low Energy (BLE) devices for direct control, data streaming, and protocol understanding.
Standardizes verifiable interaction records for AI agents and automated systems across organizational boundaries.
Enables granular permission control for AI agents accessing external services through a proxy layer.
Provides a unified platform for managing Model Context Protocol ecosystems, addressing configuration complexity, resource consumption, and security risks.
Provides a comprehensive, open-source security testing framework for multi-agent AI systems in critical enterprise environments.
Securely connect AI agents to any public or private API, including localhost services, by automatically injecting credentials.
Aggregates and manages multiple Model Context Protocol (MCP) servers behind a single, unified endpoint for AI coding agents.
Enforces a sophisticated security gateway for AI agents, controlling their access to system resources and the web through compiled Rust enforcement.
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