Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.
Assists models in understanding Vite and Nuxt applications.
Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing.
Provides a template for creating and distributing Unity packages with versioning and dependency management.
Generates images, text, and audio from text prompts using a free and open-source API.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Simplifies building AI agents using Model Context Protocol and composable workflow patterns.
Automates the creation of short-form videos for platforms like TikTok, Instagram Reels, and YouTube Shorts from text inputs.
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Integrates Electronic Design Automation (EDA) tools with AI assistants for automated hardware design workflows.
Provides structured spec-driven development workflow tools for AI-assisted software development.
Enables AI agents to communicate with and control Figma in real-time, facilitating dynamic design workflows.
Integrates video, audio, and image processing with advanced AI and MCP protocol support for intelligent, natural language-driven media content creation.
Automatically generates and comprehensively evaluates presentations from documents using an innovative agentic AI system.
Enables the creation of collaborative AI agents using a visual builder or TypeScript SDK for solving complex problems.
Integrates AI assistants like Claude Code and Codex with Google's NotebookLM, enabling grounded, citation-backed research directly from your documentation.
Transforms any documentation website into a production-ready Claude AI skill in minutes.
Transforms various document formats like PDF, Office, and images into Markdown using a high-performance, multi-GPU service, and integrates with AI assistants via the Model Context Protocol (MCP).
Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.
Empowers AI development teams by serving as a central knowledge hub, automating demand analysis, UI asset extraction, and fostering collaboration across diverse AI assistants.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.