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Automates expert-level code remediation, security auditing, and performance optimization for React Native applications.
Automates native macOS applications through natural language commands, enabling AI-assisted control and interaction.
Enables AI models to execute any open-source tool through the Model Context Protocol.
Bridges large language models with penetration testing tools via the Model Context Protocol (MCP).
Enables programmatic desktop control, allowing mouse movements, keyboard input, and screen capture via a Model Context Protocol server.
Provides a complete interface to the Delve debugger for Go programs through MCP tools.
Orchestrates cybersecurity tasks and workflows using Model Context Protocol (MCP) and AI models like Claude.
Integrates with Microsoft Security Copilot and Sentinel to enhance development, testing, and deployment of security artifacts.
Executes k6 load tests via the Model Context Protocol (MCP).
Provides a secure, containerized environment for executing tools and code requested by large language models.
Provides large language models with access to Cucumber Studio's testing platform via Model Context Protocol.
Introduces delays in AI agent workflows by providing a sleep/wait function for specified durations.
Provides AI assistants with instant, accurate Maven Central dependency intelligence and documentation support for all JVM build tools.
Facilitates remote, concurrent IDA Pro binary analysis by orchestrating multiple headless IDA instances through the Model Context Protocol.
Executes Nuclei security scans via the Model Control Protocol (MCP) for convenient vulnerability assessment.
Empowers AI agents and power users to conduct in-depth codebase analysis and execute context-heavy tasks with Google Gemini.
Provides a modular Model Context Protocol server to manage OPNsense firewalls through AI assistants.
Provides secure, controlled access for AI assistants to perform Ubuntu operating system operations.
Detects AI coding anti-patterns in real-time to prevent costly overengineering.
Demonstrates potential security risks in Model Context Protocol (MCP) implementations, and how to recognize and prevent security issues.
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