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Facilitates open-source intelligence by collecting user account information from various public sources.
Executes code securely within isolated Docker containers, providing a safe environment for AI applications.
Securely executes stateful Python code in sandboxed environments designed to run indefinitely.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
Enables secure command-line interactions on Windows systems through the Model Context Protocol.
Enables AI systems to interact with and instrument mobile and desktop applications through dynamic analysis.
Integrates Binary Ninja with LLMs for enhanced reverse engineering workflows via an MCP server and bridge.
Facilitates live reverse engineering of Android applications by connecting JADX decompiler with local LLMs via Model Context Protocol (MCP).
Enables LLM assistants to interact with the Foundry ecosystem for Solidity development and blockchain analysis.
Integrates Apktool with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Enables LLMs to interact with iOS simulators using natural language commands.
Protects AI applications by automatically scanning and blocking malicious Model Context Protocol (MCP) traffic.
Provides cryptographic tools for establishing end-to-end encryption between LLM agents.
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Enables large language models to securely read, manage, and operate Salesforce resources.
Provides an MCP server and plugin for JEB Pro, facilitating advanced reverse engineering workflows and integration with external analysis tools.
Executes Python code in isolated, rootless containers, serving as an MCP server with optional proxying capabilities for external MCP tools.
Connect AI agents directly to Cheat Engine, automating reverse engineering, pointer scanning, and memory analysis using natural language commands.
Enables Large Language Models to query a unified database of security detection rules from various formats.
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