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Empowers AI assistants to perform browser automation tasks through natural language prompts using the Model Context Protocol.
Enables browser automation through a Model Context Protocol (MCP) server implementation for Selenium WebDriver.
Enables AI agents to seamlessly bridge USDC across multiple blockchain networks, providing real-time quotes, transaction simulations, and status tracking.
Provides a Multi-Agent Conversation Protocol (MCP) server for the WHOIS API.
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.
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.
Performs DNS fuzzing to detect typosquatting, phishing, and corporate espionage by analyzing domain permutations.
Enables privacy-focused web search and URL content fetching for Zed AI assistant through user-configured SearXNG instances.
Enables AI agents to manage enterprise user identities and groups using the SCIM 2.0 standard with built-in PII masking.
Detects and analyzes real-time cheating patterns and suspicious code within Discord servers using advanced AI and a dynamic anti-cheat system.
Empowers AI models to browse the web and perform automated quality assurance testing for websites.
Provides professional C++ coding style checks and best practice suggestions.
Enables AI models to securely interact with Bitwarden password vaults through the 'rbw' command-line interface.
Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.
Demonstrates advanced document handling and AI integration using the Model Context Protocol SDK.
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