Every Mac with Apple Silicon has a built-in LLM - Apple's on-device foundation model, shipped as part of Apple Intelligence. Apple provides the FoundationModels framework (macOS 26+) to access it, but only exposes it through Siri and system features. apfel wraps it in a CLI and an HTTP server - so you can actually use it. All inference runs on-device with no network calls for the LLM itself. Optio
Agents don’t know anything about your components so they make up slop that doesn’t match your coding standards. Storybook MCP gives agents intelligence and test guardrails to keep on track: Context about your existing components to reuseInstructions to write stories and preview their workAbility to run tests and fix their own issues 💁“But what about skills?” We’re investing in both. Skills are a
こんにちは!逆瀬川ちゃん (@gyakuse) です! 今日はNotion Remote MCPをCLIでラップした @sakasegawa/ncli(GitHub)を作った話と、その過程で考えた「Agent時代のCLI設計」についてまとめていきたいと思います。 公式のNotion CLIがついにリリース Notion公式CLI ntn がリリースされました。Jonathan Clem氏のツイートで発表されたもので、Agent向けのSkill(makenotion/skills)も同時公開されています。CLIのリポジトリは現在(2026/03/19)時点ではまだ公開されていません。 New in the Notion CLI, ntn: The whole Notion API! And a skill so that your agents know how to use it. 待望の
npx skills install jpoehnelt/skills/agent-dx-cli-scale Human DX optimizes for discoverability and forgiveness. Agent DX optimizes for predictability and defense-in-depth. These are different enough that retrofitting a human-first CLI for agents is a losing bet. I built a CLI for Google Workspace — agents first. Not “built a CLI, then noticed agents were using it.” From Day One, the design assumpti
AI-assisted coding is fine — you review the code, you understand the architecture, you stay in control. Vibe coding is different. You describe what you want, the AI writes it, and you ship it without reading every line. Tools like Claude Code, Cursor, GitHub Copilot, and Windsurf make this workflow fast and productive. But over days and weeks, vibe-coded projects accumulate a specific class of pro
Published: February 10, 2026 As the agentic web evolves, we want to help websites play an active role in how AI agents interact with them. WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your site with increased speed, reliability, and precision. By defining these tools, you tell agents how and where to interact with your site, whether
Zero-config discovery. createRuntime() merges your home config (~/.mcporter/mcporter.json[c]) first, then config/mcporter.json, plus Cursor/Claude/Codex/Windsurf/OpenCode/VS Code imports, expands ${ENV} placeholders, and pools connections so you can reuse transports across multiple calls. One-command CLI generation. mcporter generate-cli turns any MCP server definition into a ready-to-run CLI, wit
Published Nov 04, 2025 Direct tool calls consume context for each definition and result. Agents scale better by writing code to call tools instead. Here's how it works with MCP. The Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Connecting agents to tools and data traditionally requires a custom integration for each pairing, creating fragmentation an
Figma、リモートMCPサーバーをオープンベータとして段階的に提供開始 ——Figma Makeからのリソース取得、Code Connect UIコンポーネントも追加 Figmaは2025年9月23日、Figma MCPサーバーにリモートアクセスできるFigmaリモートMCPサーバーをオープンベータとして段階的に提供を開始した(9月26日までに提供予定)。また新しい機能として、Figma Makeからのリソース取得と、Code Connect UIコンポーネント(オープンベータ)も追加した。 Design context, everywhere you build - Figma Blog Remote MCP Server, Make Resources in MCP & Code Connect UI - Figma Release Notes これまでもFigmaはロ
Published: September 23, 2025 We're launching today a public preview for the new Chrome DevTools Model Context Protocol (MCP) server, bringing the power of Chrome DevTools to AI coding assistants. Coding agents face a fundamental problem: they are not able to see what the code they generate actually does when it runs in the browser. They're effectively programming with a blindfold on. The Chrome D
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