原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

MarkuprPlus

作者:hashfunction版本 3.1.2i★ –i在你的电脑上运行
注册名称io.github.hashfunction/markuprplus

安装

概览

作者提供的说明(英文原文)

Records your screen and voice, returns one annotated screenshot and finding per mark.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "markuprplus": {
      "command": "npx",
      "args": [
        "-y",
        "markuprplus"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add markuprplus -- npx -y markuprplus

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "markuprplus": {
      "command": "npx",
      "args": [
        "-y",
        "markuprplus"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "markuprplus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "markuprplus"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

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。

基础检查i

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 hashfunction 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32384 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32384 个服务器的 32% 更新
  • 基础检查结果等于或优于此分类中其他 32384 个服务器的 100%

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。

常见问题

MarkuprPlus 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(3.1.2)于2个月前进入注册中心。

哪些应用可以使用它?

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 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, 오늘냥이 (Oneul Nyangi)

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

오늘냥이 (Oneul Nyangi)

作者:nyangi.today

Real cat photos, diaries, profiles, age and food reference calculators, and breeds.

在云端运行今天更新
安装

作者的 README

打开 README

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。

MarkuprPlus

You see it. You say it. Your AI fixes it.

A Windows and macOS desktop app, CLI, and MCP server for visual feedback.

Record and annotate from your desktop, process recordings from the terminal, or give your AI agent screen capture tools.

Download for Windows or macOS · Use the CLI · Connect an MCP client · GitHub Action

▶ Watch the 33-second product tour

Pick a window. Talk through what's wrong. Circle it while it happens.

Every circle becomes its own issue, with its own screenshot, ready to paste into your coding agent.

Quick Start · The Loop · Output · Screenshots · Providers · MCP · CLI


Hold Ctrl on Windows or Cmd on macOS, circle the problem, keep talking. That stroke becomes MX-001 .

The Problem

Your coding agent can't see your screen. So you stop working and start transcribing: describe the layout bug in prose, take a screenshot, crop it, drag it into the right place, explain which part matters. You speak at 150 words per minute and type at 60, and the context leaks out on the way.

The Solution

MarkuprPlus is a Windows and macOS desktop app, with a CLI, MCP server, and GitHub Action for automated workflows. The desktop app lives in the Windows system tray or macOS menu bar. It records the exact window you point at, listens while you narrate, and lets you draw on the live screen without blocking your clicks. When you stop, it transcribes on-device, aligns your words to each mark, and writes a report your agent can act on — one finding per circle, each with its own annotated frame.

Use MarkuprPlus asWhat you can doGet started
Windows desktop appRecord your screen and voice, draw live annotations, and review reports from the system tray.Download for Windows
macOS desktop appCapture and annotate from the menu bar on Apple Silicon or Intel Macs.Download for macOS
CLIAnalyze existing recordings, watch folders, and generate reports in scripts.CLI commands
MCP serverLet an AI coding agent capture screenshots, record sessions, and receive structured reports.Connect your agent
GitHub ActionProcess recordings in your GitHub Actions workflows.Action setup
Windows: Ctrl+Shift+F → talk → Ctrl-drag → Ctrl+Shift+F → paste into your agent

macOS: Cmd+Shift+F → talk → Cmd-drag → Cmd+Shift+F → paste into your agent

The Loop

1. Press the capture shortcut and pick your target

Use Ctrl+Shift+F on Windows or Cmd+Shift+F on macOS.

The picker opens above every window. Whatever is under your cursor lights up — click it and the recorder locks onto that window alone, and stays locked through moves, resizes, and app switches. Region and full-display modes are one click away when a finding needs a wider frame.

If the window's identity or native geometry ever becomes ambiguous mid-session, capture stops rather than widening to whatever is behind it. You never ship a frame you didn't mean to share.

The capture controls live in one portrait popover, accessible from the Windows system tray or macOS menu bar.

2. Talk while you work

Keep clicking through your app as usual. MarkuprPlus records the window and your microphone together, then transcribes with Whisper on-device after you stop.

The picker, the drawing canvas, and the recording HUD are all excluded from screen capture at the OS level — nothing MarkuprPlus draws ends up in your video. Only your app does, plus the strokes you meant to leave.

3. Hold Ctrl (Windows) or Cmd (macOS) and draw

Hold the modifier key and drag to paint straight onto the live screen — freehand, circle, or highlight, in a colour you choose. Let go of the key and your next normal click both reaches the app underneath and saves that mark, clearing the canvas for the next one.

Three circles means three issues, not one screenshot with three scribbles on it. Each finding carries its own PNG, timestamp, tool, and colour.

4. Press the capture shortcut again to stop

Use Ctrl+Shift+F on Windows or Cmd+Shift+F on macOS.

Whisper runs, your narration is aligned to each mark, and the report is written to disk. The markdown path lands on your clipboard the moment it's ready — paste it straight into Claude Code, Codex, Cursor, or anything else that reads a file.

Everything for the session goes in one folder: the report, the screenshots, the session video, the narration audio, and the metadata.

Quick Start

Windows and macOS desktop app (recommended)

Download from markuprplus.com or the releases page. Choose the Windows installer (`.exe`) or the macOS disk image (`.dmg`) for Apple Silicon or Intel.

macOS install note: Direct downloads from GitHub Releases are signed, notarized, and stapled. If Gatekeeper rejects an artifact, use MarkuprPlus support so the release can be investigated.

  1. Press Cmd+Shift+F (macOS) or Ctrl+Shift+F (Windows) and click the window you want.
  2. Narrate what you see. Hold Cmd / Ctrl and drag to mark the live screen.
  3. Release the key, then click normally — that saves the mark and clears the canvas. Repeat for every finding.
  4. Press the hotkey again to stop. The report path is on your clipboard.
MCP server (for AI coding agents)
npx --yes --package markuprplus markuprplus-mcp
CLI (for recordings you already have)
npx markuprplus analyze ./recording.mov

Compatibility: the public package and commands are markuprplus and

markuprplus-mcp. Existing .markuprx project files, storage paths, and app

identifiers remain unchanged so upgrades keep their settings and sessions.

Optional companion for Mac App Store CLI integrations

The sandboxed Mac App Store app can use AI command-line tools already installed and signed in on your Mac through the optional MarkuprPlus CLI Bridge. Local Rules, Ollama, LM Studio, and Anthropic API do not require this companion.

Install and pair it from a Terminal:

npm install -g markuprplus

markuprplus bridge install # installs and starts a per-user LaunchAgent markuprplus bridge token # paste this value in Settings → Advanced markuprplus bridge status

The public npm package contains the same versioned CLI and MCP entry points used by the source release.

The service listens only on 127.0.0.1:49647, requires its random pairing token for every provider request, and accepts a fixed structured-report protocol rather than shell text. The App Store app does not run shell commands or launch external tools; the separately installed companion invokes only the provider selected in Settings.

Lifecycle and recovery commands:

markuprplus bridge start

markuprplus bridge stop markuprplus bridge status markuprplus bridge token markuprplus bridge rotate-token markuprplus bridge uninstall

Rotating the token requires pairing again. Uninstall removes the exact LaunchAgent and bridge configuration owned by MarkuprPlus; it does not uninstall your AI CLIs.

What Lands in Your Folder

One session, one directory:

originplayer-test-iphone-20260818-104731/

├── feedback-report.md # the file you paste ├── feedback-summary.md # counts and duration ├── metadata.json # per-issue capture context ├── processing-trace.json # which provider ran, how long, why it fell back ├── screenshots/ │ ├── marked-issue-001.png # one frame per mark, your stroke composited in │ ├── marked-issue-002.png │ └── marked-issue-003.png ├── session-recording.webm # the window, with annotations └── session-audio.webm # your narration

A real, unedited finding from that session:

### MX-001
  • Timestamp: 00:08
  • **Too

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