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Enables AI assistants to interact with Android devices through the Android Debug Bridge (ADB).
Enables memory forensics analysis using natural language by integrating the Volatility 3 framework with Large Language Models (LLMs) through the Model Context Protocol (MCP).
Enables AI assistants to directly control local Whistle proxy servers through natural language interaction.
Enables AI agents to securely access 2FA codes and passwords from the Authenticator App for automated login processes.
Provides a FastMCP server for interacting with Microsoft Graph API to manage EntraID (Azure AD) resources.
Empowers security teams with AI-driven threat intelligence analysis, identifying and attributing threats across multiple sources.
Provides a modular Model Context Protocol server to manage OPNsense firewalls through AI assistants.
Manages Ludus cybersecurity training environments through natural language commands, enabling streamlined setup and operation.
Systematically benchmarks and provides a playground for testing the security of Model Context Protocols.
Integrates traditional directory brute-forcing with large language models to automate directory scanning, intelligently analyze results, and identify potential vulnerabilities.
Filters tools from upstream Multi-Modal Chat Protocol (MCP) servers using a regex-based deny list.
Bridges AI assistants with the Arch Linux ecosystem, enabling intelligent and safe access to the Arch Wiki, AUR, and official repositories.
Streamlines AI-assisted development by providing 23 utility tools that cover code quality, development efficiency, and project management workflows.
Enables AI agents to compose and execute sandboxed code for chained Model Context Protocol (MCP) tool calls, significantly reducing token usage.
Automate intelligent file organization, duplicate detection, and batch renaming for various file types across your system.
Provides ephemeral, client-side encrypted sharing for AI context like logs, diffs, and images, vaporizing data within 24 hours.
Generates an always-fresh, function-level code dependency graph with sub-second incremental rebuilds, supporting local semantic search and impact analysis for AI agents.
Orchestrates a comprehensive suite of reverse engineering tools through the Model Context Protocol for universal automation.
Empowers AI agents to write and execute code safely in a sandboxed WASM environment, significantly reducing token usage for chained tool calls.
Empowers AI agents with a pre-computed knowledge graph of codebases to drastically reduce token usage and enhance structural understanding.
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