Jack Herrington·32wMCP-UI + TanStack = Next Gen Web
MCP UI extends the Model Context Protocol to allow AI tools to return interactive HTML, JavaScript, and iframe-based user interfaces instead of just text or JSON. The tutorial demonstrates building an MCP UI server using TanStack Start that can render guitar recommendation cards through iframe embedding, showcasing how LLMs can now generate rich visual components for web applications.
Visual Studio Code·30wThe new MCP registry experience in VS Code!
GitHub has launched a new MCP registry that integrates directly with VS Code Insiders. Users can now search and install MCP servers through the familiar extensions interface by typing '@MCP' in the search bar, providing the same experience as installing regular VS Code extensions.
Bytes by ui.dev·28wChrome DevTools made an MCP server
Chrome DevTools released a public preview of their MCP server that enables AI coding agents to control and inspect live Chrome browsers. This tool addresses the limitation of agents coding blindly by providing them with browser inspection capabilities through Puppeteer-powered MCP integration. Agents can now debug applications by inspecting DOM, reading console logs, checking network requests, automating user flows, and running performance audits. The newsletter also covers various web development topics including CSS specificity, TanStack Start migration, Redux usage in 2025, and JavaScript's arguments object handling.
Tech With Tim·31wMCP Protocol Tutorial: Build an MCP Server for Your App (Clerk, Next.js, Prisma)
A comprehensive tutorial demonstrating how to build a full-stack bookmark manager application using Next.js, Clerk for authentication, and Prisma for database management, with a focus on creating an MCP (Model Context Protocol) server that allows AI tools like Cursor to interact with the application's data through proper OAuth authentication flows.
Daily Dose of Data Science | Avi Chawla | Substack·32w[Hands-on] MCP-powered Agentic RAG
A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with web search fallback, using Firecrawl for web scraping, Qdrant as the vector database, and Cursor as the MCP client. The tutorial covers setting up an MCP server, creating tools for both vector DB queries and web search, and integrating everything with Cursor for intelligent query routing.
Daily Dose of Data Science | Avi Chawla | Substack·31wA Guide to Evaluating MCP-powered LLM Apps
Learn how to evaluate MCP-powered LLM applications using DeepEval's open-source evaluation framework. The guide covers setting up MCP servers, tracking tool interactions, creating test cases, and measuring how well LLMs select and use tools. Includes step-by-step code examples showing how to identify issues with tool selection and argument correctness, ultimately improving app performance from 8% to 100% success rate.