
MarkuprPlus
io.github.hashfunctionPublished by GitHub account hashfunctionv3.1.2Updated Oct 27, 2026
Records your screen and voice, returns one annotated screenshot and finding per mark.
Overview
Desktop screen-capture MCP server that lets an AI agent grab screenshots, record screen and voice, and receive structured visual-feedback reports.
- What you can do
- Capture the current screen with cursor, active app and focus hints, or describe what is on screen
- Record the screen and microphone for a set duration or as a start/stop interactive session, returning a structured report
- Analyze an existing video file or a single screenshot into Markdown with extracted frames
- Create GitHub or Linear issues from a generated report
- When to use it
- Useful when you want a coding agent to see a UI bug or layout problem directly instead of relying on a written description, or to turn narrated screen recordings into per-issue findings with annotated screenshots.
- Requirements
- Runs as a local stdio process via npx (npm package markuprplus, entry point markuprplus-mcp). Desktop only: Windows or macOS. Node.js 20.9+ and ffmpeg on PATH for analysis. Screen-recording and microphone permissions. Optional provider logins or an Anthropic API key for AI reports; local rules need no credentials.
Installation
In SourceWeft
- Open MarkuprPlus in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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 MarkuprPlus product tour]
▶ 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.
[CI] [Nightly] [Deploy] [Action] [Coverage]
[Version 3.2.0] [Desktop app for Windows and macOS] [MarkuprPlus CLI] [MCP server for AI agents] [Local Whisper transcription] [License]
Quick Start · The Loop · Output · Screenshots · Providers · MCP · CLI
[An app under review, unmarked] [The same screen with a red freehand ellipse around the problem]
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.
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
[A red hand-drawn ellipse around the tab bar of the app under review]
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.
- Press
Cmd+Shift+F(macOS) orCtrl+Shift+F(Windows) and click the window you want. - Narrate what you see. Hold
Cmd/Ctrland drag to mark the live screen. - Release the key, then click normally — that saves the mark and clears the canvas. Repeat for every finding.
- Press the hotkey again to stop. The report path is on your clipboard.
MCP server (for AI coding agents)
CLI (for recordings you already have)
Compatibility: the public package and commands are
markuprplusandmarkuprplus-mcp. Existing.markuprxproject 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:
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:
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:
A real, unedited finding from that session:
Each finding carries more than pixels:
Marked issues are numbered MX-001…; items that come from narration alone are FB-001….
Every Surface
Local Transcription
On desktop startup, MarkuprPlus downloads the multilingual Whisper tiny model (~75 MB) in the background if no local model is installed. Existing models are reused. Download progress and retryable errors appear under Settings > Advanced > Local Transcription. Interrupted downloads resume on the next startup; offline or failed downloads do not block opening the app. Once downloaded, local transcription works without an internet connection.
Interface Language
The desktop interface defaults to English, including when upgrading from an installation that previously displayed Traditional Chinese automatically. Choose Settings > General > Language > Interface language to opt into Traditional Chinese or switch back to English. The preference is saved and applies immediately across open windows without restarting or interrupting a recording. Resetting General settings restores English.
Interface language is separate from transcription language. Feedback text, recordings, and generated reports are not translated by this setting.
To add another interface language, register its identifier and display name in
src/shared/uiLanguage.ts and its translation catalog in
src/renderer/i18n/catalogs.ts. English labels are the source and fallback for
missing translations; mark user-content regions with translate="no".
Report Providers
Pick the model that turns a capture into a structured report. MarkuprPlus checks each one before you record and shows you what it actually found.
In the Mac App Store app, CLI providers use the optional local companion described above. Direct desktop builds invoke the same adapters inside the app. Both paths preserve Local Rules as the failure-safe report.
Failure is safe by design. If the provider you picked errors out, the deterministic Local rules report is written anyway, and the popover names the provider and the reason. Your recording, audio, and marks were already on disk before analysis started. An explicit CLI choice never silently becomes an Anthropic call.
Codex CLI, GitHub Copilot CLI, and OpenCode can receive captured screenshots. Transcript-only CLI adapters reject screenshot-only sessions instead of inventing visual findings.
To use GitHub Copilot CLI, install or update copilot, run copilot login
in Terminal, then select GitHub Copilot CLI in Report Settings and refresh
providers. Leave the model blank to use your Copilot default, or enter a Copilot
model ID. Discovery verifies the installed version; authentication is verified
when a report runs. The optional CLI Bridge provides the same integration for
the Mac App Store app.
Copilot receives the transcript over stdin and screenshots as attachments. Each report uses a temporary Copilot configuration that reuses only your login identity (credentials remain in the OS credential store) and default model, not your plugins, hooks, MCP servers, or saved permissions. All model tools and custom instructions are disabled. Temporary context is removed after success or failure. Environment-token authentication is also supported; plaintext credential fallbacks are not copied into the temporary configuration.
processing-trace.json records exactly what happened:
Why MarkuprPlus
Evidence, not footage. A screen recording leaves your agent a video it can't watch and you a file you have to narrate twice. This gives you separate findings, one annotated frame each, the words you said at that timestamp, and the window and cursor context.
Local-first. Whisper runs on your device and Local rules needs no credentials. Cloud transcription and cloud models only run when you explicitly pick them. No account, no telemetry, no analytics.
It doesn't film itself. The picker, the drawing canvas, and the recording HUD are content-protected at the OS level. Your marks reach the report; the app's own chrome never reaches the video.
Fits your workflow. Windows and macOS desktop apps for daily capture, a CLI for scripts and CI, an MCP server for agents, and a GitHub Action for pull requests.
Open source. MIT licensed. Read it, fork it, ship it.
MCP Server
Give your agent eyes and ears. It can capture screenshots, record your screen with voice, and receive structured reports mid-conversation.
Connect GitHub Copilot CLI, the Claude Mac app, or Codex with the setup command:
Run the command for each client you use, then restart that client. Claude setup covers both Chat and Code. Codex shares its configuration with its CLI. Add --dry-run to preview; existing settings and other servers are preserved, and changed files are backed up. An existing conflicting markuprplus entry requires --force. See client setup and capabilities for details.
For manual setup, Claude Code (~/.claude.json or project .mcp.json), Cursor, and Windsurf take the same shape:
Tools
Full MCP documentation: README-MCP.md.
CLI
Output templates: markdown (default) · json · github-issue · linear · jira
The desktop app also exports html and pdf.
Requirements: Node.js 20.9+ and ffmpeg on your PATH (brew install ffmpeg / apt install ffmpeg / choco install ffmpeg).
[MarkuprPlus desktop-to-report workflow demo]
Integrations
GitHub Action
Analyze recordings in CI and post structured feedback on the pull request that needs it:
See markuprx-action/README.md for every input.
Issue trackers
Push each finding straight into GitHub Issues or Linear — screenshot, narration, timestamp, and capture context already formatted — from the app, the CLI, or your agent over MCP.
Keyboard Shortcuts
Recording, screenshot, and pause are global and rebindable in Settings → Hotkeys. Full reference: docs/KEYBOARD_SHORTCUTS.md.
How It Works
The pipeline degrades gracefully at every step. No ffmpeg? Transcript-only output. No Whisper model? Timer-based screenshots. No provider? Local rules. A failure anywhere still leaves you a report and the raw session on disk.
For architecture details, see CLAUDE.md.
Development
Contributing
- Fork the repository
- Create a feature branch:
git checkout -b feature/your-feature - Run tests:
npm test && npm run lint && npm run typecheck - Open a Pull Request
See CONTRIBUTING.md for full guidelines.
License
MIT — see LICENSE.
Source: README.md at commit dd622f9
Tools
0Version history
1- v3.1.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts