patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
The project "udecode/plate-playground-template" is a modern template built with Next.js 15 that integrates the Plate AI editor along with the Model Context Protocol (MCP) to facilitate the development of AI-enhanced rich text editing applications. It leverages the latest Next.js 15 App Directory structure and incorporates the Plate editor, which is a powerful rich text editor framework. The template also includes UI components from shadcn/ui and integrates MCP, which is a protocol designed to enhance model context handling within applications. The template is designed to be developer-friendly, requiring Node.js 20+ and pnpm 9+ for setup. Installation can be done either through a CLI command that adds the Plate AI editor package or by using the GitHub template directly, followed by dependency installation. The development setup involves configuring environment variables such as the OpenAI API key for AI functionalities and an UploadThing API key for file uploads. Once set up, developers can start a local development server and access the editor at a specified localhost URL. This template serves as a foundational starting point for building sophisticated AI-powered text editing experiences, combining the capabilities of the Plate editor with the contextual enhancements provided by MCP. It is particularly useful for projects aiming to integrate AI-driven features into rich text editors, leveraging modern web technologies and protocols. Overall, this project provides a comprehensive and modern framework for developers looking to create advanced text editing applications with AI integration and enhanced context management through MCP.
https://github.com/udecode/plate-playground-template
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
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