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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? 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MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
Add MCP Apps to your AI SDK application | Vercel Knowledge Base
Ben Sabic · 2026-06-27 · via Hacker News - Newest: "AI"

MCP Apps let a Model Context Protocol (MCP) tool return an interactive UI instead of plain text. The model still calls ordinary MCP tools, but a tool can point to a ui:// resource that holds HTML, and your app renders that HTML in a sandboxed iframe. To build the host side, the AI SDK provides @ai-sdk/mcp helpers for advertising MCP Apps support, filtering which tools the model sees, and reading ui:// resources, plus @ai-sdk/react components for rendering the iframe and bridging its messages. Your chat can then display a dashboard, form, or other interactive view generated by a tool, while the untrusted HTML remains isolated.

In this guide, you'll learn how to:

  • Connect to an MCP server with MCP Apps capabilities
  • Pass only model-visible tools to the model with splitMCPAppTools
  • Read a tool's ui:// resource with readMCPAppResource
  • Proxy app-initiated tool calls safely from the iframe
  • Render the app UI in your React chat with experimental_MCPAppRenderer

Before you begin, make sure you have:

  • The ai package with @ai-sdk/mcp and @ai-sdk/react
  • The MCP TypeScript SDK (@modelcontextprotocol/sdk) and a provider package, such as @ai-sdk/openai
  • An MCP server that exposes MCP Apps tools (tools that point to ui:// resources)
  • A React app that uses useChat (the examples below use the Next.js App Router)

An MCP Apps host connects to an MCP server, decides which tools the model can see, and renders any app UI that a tool points to. At runtime, the host follows these steps:

  1. Connect to the MCP server with MCP Apps client capabilities.
  2. List the server's tools and split them by MCP Apps visibility.
  3. Pass only the model-visible tools to streamText or generateText.
  4. Read a tool's ui:// resource when its tool part includes MCP App metadata.
  5. Render the HTML resource in a sandboxed iframe.
  6. Proxy allowed iframe requests, such as app-visible tool calls, back to the MCP server.

The rest of this guide builds each step.

Create the MCP client with mcpAppClientCapabilities so the host advertises that it can render text/html;profile=mcp-app resources.

Advertise these capabilities only if your host can safely fetch and render MCP App resources.

MCP Apps tools can declare _meta.ui.visibility. Pass tools marked "model" to the model, and keep tools marked only "app" for iframe requests so the model never sees them. Split the tool list with splitMCPAppTools and pass modelVisible to streamText.

When the model calls an app-backed tool, the MCP client keeps the app metadata in the tool UI, which the React renderer uses to determine whether a tool part has an MCP App.

Read a tool's ui:// resource with readMCPAppResource before you send it to the browser host.

readMCPAppResource checks that the resource uses a ui:// URI, requires the MCP Apps MIME type, decodes text or base64 content, and returns the HTML along with rendering metadata such as its content security policy and permissions.

The iframe can't reach your MCP server directly. It sends JSON-RPC messages to your host, and your host decides which ones to allow. For an app-initiated tool call, confirm that the requested tool is app-visible before calling the MCP server.

In production, add any policy and user-approval checks your app needs before forwarding an iframe request.

In your React chat UI, render normal message parts as usual and pass tool parts to experimental_MCPAppRenderer.

experimental_MCPAppRenderer is experimental and may change in a future release.

experimental_MCPAppRenderer renders nothing for ordinary tools. For an app-backed tool, it loads the resource, creates the sandbox bridge, sends tool input and result notifications to the iframe, and forwards supported app requests through your handlers.

  • Treat MCP App HTML as untrusted. Render it in a sandboxed iframe, ideally through a sandbox proxy route on a separate origin.
  • Never pass app-only tools to the model. Use splitMCPAppTools and expose only the modelVisible tools.
  • Validate every iframe request on the server before you call client.callTool.
  • Cache resources by resourceUri so repeated tool calls don't refetch identical HTML.
  • Keep each tool's content and structuredContent useful on their own, so text-only hosts still work without the UI.
  • Close short-lived MCP clients when the response or host request finishes.