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Facilitates the testing of server-side applications.
Provides detailed insights into file histories, changes, and patterns within Git repositories, focusing on individual file analysis.
Analyzes binary files, providing tools to read and extract metadata from various formats.
Offers a secure Model Context Protocol (MCP) server providing specialized tools for mathematical calculations, health assessments, and code analysis.
Provides a unified multi-cloud abstraction framework for secure, dynamic access to AWS, Azure, and OCI services, including financial data sources.
Provides secure, policy-driven access to remote systems for SSH, SFTP, rsync, tunneling, VPNs, and RDP operations.
Establishes automated login functionality for local web applications using predefined credentials via the Model Context Protocol.
Executes predefined system commands with integrated safety checks and confirmation prompts.
Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.
Provides a robust boilerplate and development environment for building a server application.
Automates and orchestrates development tasks with rigorous quality control and comprehensive validation.
Provides a production-ready Model Context Protocol (MCP) server that exposes commerce tools through a secure HTTP bridge for AI-ready, agent-accessible services.
Performs comprehensive codebase analysis by loading entire projects into Google's Gemini AI's 1M token context window.
Provides robust browser automation capabilities, enabling large language models to interact with web pages, generate code, and extract data.
Enables advanced cross-chain bridging for the Arbitrum ecosystem with intent-based routing and multi-protocol intelligence.
Analyzes transactions for fraud using advanced models, providing insights and risk scores to enhance investigation efficiency.
Provides legal-expert-grade analysis of software licenses using Scancode data, offering compliance insights and file content snippets via the Model Context Protocol (MCP).
Enables LLM applications to perform verifiable credential operations, including issuance, verification, and revocation, within the HiveAuth ecosystem.
Provides remote network access to HexStrike AI's extensive suite of 150+ security tools for AI agents without requiring local client files.
Perform intelligent file and folder comparisons, including advanced text normalization and duplicate detection, through an MCP server.
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