Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Read and manage development annotations from a local GPUI app.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 emmanuel-defreitas 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.6.0)于14天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Rust。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Joe Hill, AI partner in Tennessee
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Check open times and book a free 15-minute fit call with Joe Hill, or ask Harvey about his work.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
[][contributors-url] [][forks-url] [][stars-url] [][issues-url] [][license-url]
gpui-agentation
🎯 Point at a running GPUI app, leave a note, and your coding agent gets the element, its bounds, and its Rust source location.
Explore the docs »
View Demo · Report Bug · Request Feature
Version: 0.6.0. Debug builds only — release builds expose no annotation API.
Pinned to
gpui-pre =0.3.8.
Table of Contents
About The Project
Built With
Getting Started
Prerequisites Installation
Usage
Inspect and annotate Capture feedback Connect your agent Agent skills
Try the Demo Roadmap Contributing License Contact Acknowledgments
[](https://emmanuel-defreitas.github.io/gpui-agentation/)
Agentation annotates web pages through the DOM. A native GPUI window has no DOM, so gpui-agentation registers screens (and optional finer targets) with an ID, label, bounds, and Rust call site, then attaches your note to that.
Use it when you would otherwise describe a UI bug to your agent in words or paste a screenshot. Notes persist to a local JSON file, carry a status (pending, acknowledged, resolved, dismissed) and a reply thread, and an agent reads them over a loopback MCP server or REST/SSE.
It is a development tool. It annotates registered targets, not arbitrary pixels (by default, the whole screen), and release builds do not include it. For production telemetry or session replay, use something else.
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[][Rust-url] [][GPUI-url] [][MCP-url]
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Add gpui-agentation to your own GPUI app in three steps: install the crate, initialize once at launch, then mount and wrap your screen.
Ely is bundled, so there is nothing else to install.
cargo add gpui-agentation --no-default-features --features native
#[cfg(debug_assertions)] and release returns your content unchanged: // Launch: serve Agentation's assets, then initialize.
let app = gpui_platform::application(); #[cfg(debug_assertions)] let app = app.with_assets(gpui_agentation::Assets); app.run(|cx| { #[cfg(debug_assertions)] gpui_agentation::init(cx).expect("initialize Agentation"); // ...open your window });
// Window setup: app name, route, notes file, local port. Keep feedback // in a field of your root view that carries the same cfg. #[cfg(debug_assertions)] let feedback = gpui_agentation::Agentation::mount( "My app", "gpui://my-app/home", "target/agentation/feedback.json", 4748, window, cx, )?;
// Render: wrap the screen in debug builds; release keeps content as is. #[cfg(debug_assertions)] let content = self.feedback.root("home", "Home screen", content, window, cx); content
target(id, label, child) only where you want finer inspection. Ordinary controls need no wrappers. Agentation handles its Ely setup, assets, and focus internally.The consumer example keeps all of this in one devtools module. More: setup guide, setup skill for agents, and customization.
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Turn on the power switch, then choose Inspect, Box, Arrow, Pen, Comment, or Textbox. Select an element or draw on the screen. Inspect surfaces the element's ID, label, bounds, and Rust call site.
Draw an arrow (or a box or freehand pen stroke) to point your agent at exactly the right spot.
While annotation mode is on, use I / B / A / P / C / T to select a tool. Hover a tool to see its shortcut as an Ely keycap in the tooltip. Ctrl/Cmd+S saves the current draft; Ctrl/Cmd+Z and Ctrl/Cmd+Shift+Z undo and redo annotation changes. Delete/Backspace removes a selected annotation when its text field is not being edited. Text fields retain their ordinary typing and text undo behavior.
Textboxes use plain text with one style and size, preceded by a numbered pin. Click to select and show the bounding box; drag the text or pin to move both. Double-click or press Enter on the selected textbox to edit it. Saving displays the text directly on the canvas without opening a comment. Other numbered pins can be dragged independently of their drawings.
In a floating comment, type @ to choose an existing note or #12 to preview pin 12. Hovering a suggestion or using the arrow keys animates its pin; click, Enter or Tab inserts an @#12 reference. Escape dismisses the list. Right-click an annotation for Edit, Delete and Color actions, with undo support.
Include gpui_agentation::debug_menu() in your host's cx.set_menus(...) list to expose the controls in the native Debug menu. Agentation::root routes those menu commands to the active window. Settings → Toolbar → None hides the embedded toolbar. Toolbar placement persists per application in its notes file and is shared by windows mounted against that file.
Write a comment and save it. Open Comments → Copy to copy your feedback as Markdown, ready to paste to your agent.
Move the toolbar out of the way whenever it overlaps the UI you are inspecting.
The endpoint runs on loopback. Clients that require stdio can use the MCP bridge.
mcp-name: io.github.emmanuel-defreitas/gpui-agentation_For more examples, please refer to the Reference._
Give your coding agent a reusable workflow for installation or exploring a running app's feedback. Both skills live under skills/:
| Skill | Use it to |
|---|---|
| gpui-agentation-setup | Integrate the native library into a GPUI app, register screens, and verify debug and release builds. |
| gpui-agentation-explore | Discover the connected MCP tools, read sessions and notes, export Markdown, and work through requested feedback with verified status updates. |
From a clone of this repository, copy either skill directory into your host project's .agents/skills/ directory, or into ~/.agents/skills/ for personal use across projects. For example, to install the exploration skill in a host:
mkdir -p /path/to/your-app/.agents/skills
cp -R skills/gpui-agentation-explore /path/to/your-app/.agents/skills/
In Zed, start a new conversation after copying, then invoke /gpui-agentation-explore or /gpui-agentation-setup. Other agents can load the linked SKILL.md directly or use their supported skill directory. Try: “Use gpui-agentation-explore to discover my app's MCP tools and summarize pending feedback without changing notes.” Skills provide instructions; connect the running debug app's MCP server separately using the steps above.
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Clone the repository and run the bundled demo app:
git clone https://github.com/emmanuel-defreitas/gpui-agentation
cd gpui-agentation make dev
For rebuilds on save, enable Settings → Hot reload → Server status. It rebuilds and restarts the app after a successful build; in-memory state resets, saved annotations survive. Demo details
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See the open issues for a full list of proposed features (and known issues).
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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
只显示了开头部分;其余内容请在仓库中阅读