talkthru

talkthru

An MCP server that watches for screen recordings, transcribes spoken feedback locally, and attaches each comment to the relevant frame, enabling coding agents to see and fix the issues you mention.

Category
访问服务器

README

talkthru

talkthru.dev · npm · MIT

An automated feedback loop for any app. Screen-record your app on your phone and talk while you use it. Send it to your machine and your coding agent gets everything you said, attached to the screen you were looking at when you said it.

you:    *tapping through checkout* "this button is too small, I keep missing it"
                                  "and this error doesn't say what went wrong"

agent:  sees both screens, finds both components, fixes them.

Runs entirely on your machine. No accounts, no uploads, no API keys.

Works with a mac screen recording (⌘⇧5), an iPhone one over AirDrop, or Windows Game Bar. Any video with sound works — point the watcher at a folder.

Watch the 70-second demo

70-second demo — install, record, and the agent picking it up.


Install

npx talkthru doctor --fix

Pulls ffmpeg, whisper.cpp and the speech model. Nothing else to set up.

Start the watcher

npx talkthru watch

Leave it running. It only touches files named like a screen recording — the rest of your Downloads folder is invisible to it.

Connect your agent

talkthru is an MCP server, so any MCP client works — Cursor, Windsurf, Cline, Zed, Claude Desktop. Add it to your client's config:

{
  "mcpServers": {
    "talkthru": {
      "command": "npx",
      "args": ["talkthru-mcp"]
    }
  }
}

Claude Code has a one-liner for the same thing:

claude mcp add --scope user talkthru -- npx talkthru-mcp

Restart your client afterwards so it picks up the server.

Built and tested against Claude Code. Other MCP clients should work — tell me if yours doesn't.


Set up your mac

Once. Press ⌘⇧5, pick a record mode (the icons with the ◉ dot), then open Options and set Save to → Downloads and your Microphone. Both stick.

<table> <tr> <td colspan="2"><img src="https://raw.githubusercontent.com/EdonZo/talkthru/main/site/img/web/mac-1-record-mode.png" alt="Screenshot toolbar with a record mode selected and Options highlighted"></td> </tr> <tr> <td colspan="2"><b>1 · 2.</b> press <b>⌘⇧5</b>, pick a record mode, open <b>Options</b></td> </tr> <tr> <td width="50%"><img src="https://raw.githubusercontent.com/EdonZo/talkthru/main/site/img/web/mac-2-downloads.png" alt="Options menu with Downloads ticked under Save to"></td> <td width="50%"><img src="https://raw.githubusercontent.com/EdonZo/talkthru/main/site/img/web/mac-3-mic.png" alt="Options menu with MacBook Pro Microphone ticked"></td> </tr> <tr> <td><b>3.</b> <b>Save to → Downloads</b> — the folder <code>talkthru watch</code> looks at</td> <td><b>4.</b> pick your mic under <b>Microphone</b></td> </tr> <tr> <td colspan="2"><img src="https://raw.githubusercontent.com/EdonZo/talkthru/main/site/img/web/mac-4-record.png" alt="Screenshot toolbar with the Record button highlighted"></td> </tr> <tr> <td colspan="2"><b>5.</b> hit <b>Record</b> and talk as you use your app</td> </tr> </table>

No mic selected means a silent video and nothing to transcribe. Worth checking before your first recording.


Set up your phone

Optional — only if you want to record a phone app rather than your desktop.

Once. Control Centre → +Add a ControlScreen Recording. Then press and hold it and turn the microphone on.

<table> <tr> <td width="33%"><img src="site/img/web/ios-1-plus.jpg" alt="Tap the plus button"></td> <td width="33%"><img src="site/img/web/ios-2-add-control.png" alt="Tap Add a Control"></td> <td width="33%"><img src="site/img/web/ios-3-screen-recording.png" alt="Pick Screen Recording"></td> </tr> <tr> <td><b>1.</b> tap <b>+</b></td> <td><b>2.</b> Add a Control</td> <td><b>3.</b> pick Screen Recording</td> </tr> <tr> <td><img src="site/img/web/ios-4-long-press.png" alt="Press and hold the record button"></td> <td><img src="site/img/web/ios-5-mic-on.png" alt="Microphone switched on"></td> <td><img src="site/img/web/ios-6-rec.png" alt="Recording started"></td> </tr> <tr> <td><b>4.</b> press and hold ◉</td> <td><b>5.</b> Microphone <b>On</b></td> <td><b>6.</b> tap ◉ and talk</td> </tr> </table>


Recording a web app

Optional — a drop-in script that hands the agent the element you were pointing at, not just the picture of it.

<script src="/talkthru-dom.js"></script>

Record, then talkthru.stop() in the console downloads hierarchy.json. Process the two together:

talkthru process ~/Downloads/screen-recording.mov --hierarchy ~/Downloads/hierarchy.json

The script and what it captures: clients/web.


Use it

  1. Record your app, talk as you go
  2. Get the video onto your machine (AirDrop is easiest)
  3. Ask your agent: "check the feedback in my last talkthru session and implement it"

Ready in about twenty seconds. Your original video is kept in ~/.talkthru/archive/.

Mute your app if it talks. Its narration lands in the transcript next to yours and whisper can't tell you apart.


Output

Your words, attached to the screen that was up when you said them:

## 00:34 · f11 — `frames/f11.jpg`
- [00:39] "this button is too small, I keep missing it"

## 00:52 · f13 — `frames/f13.jpg`
- [00:55] "and this error doesn't say what actually went wrong"

Plus the frames. A two-minute session is about 600 tokens.


Element context (optional)

Point talkthru at a UI hierarchy file and your agent gets element types, labels and stable test ids instead of guessing which component you meant from pixels:

talkthru process recording.mp4 --hierarchy hierarchy.json
## 00:34 · f11 — `frames/f11.jpg`
ui: button#checkout-submit "Place order" @24,680 342x48
- [00:39] "this button is too small, I keep missing it"

It is a timestamped sidecar your app writes — nothing here generates it, and the format is plain JSON with no iOS-specific assumption:

{ "snapshots": [
  { "tMs": 1200, "nodes": [
    { "type": "button", "testId": "checkout-submit", "label": "Place order",
      "rect": [24, 680, 342, 48], "depth": 4 }
  ] }
] }

Common alternate spellings (tag, id, text, bounds, elements, …) are accepted as-is, so a DOM client can usually emit its natural shape. Malformed files are ignored with a warning rather than failing the recording.

Full format: docs/hierarchy.md — fields, aliases, ranking rules, and how to write a client.


Network and console (optional)

Drop an events.json next to your recording and failed requests land under the frame you were looking at:

## 00:34 · f11 — `frames/f11.jpg`
ui: button#checkout-submit "Place order" @24,680 342x48
net: POST https://api.example.com/checkout 500 340ms
- [00:39] "I tapped place order and nothing happened"
{ "events": [
  { "tMs": 12400, "kind": "network", "method": "POST",
    "url": "https://api.example.com/checkout", "status": 500, "durationMs": 340 },
  { "tMs": 12450, "kind": "console", "level": "error", "text": "TypeError: ..." }
] }

No headers, no bodies — auth tokens live in headers and the point of this tool is that your data stays on your machine. Secret-looking query values are replaced with REDACTED at parse time. Everything you send is stored; only failures and error/warn reach the agent by default, because two minutes of XHR is more text than the frames and narration combined.

Full format: docs/events.md


Windows

Win+Alt+R (Game Bar) records to Videos\Captures, which is where the watcher looks by default — no name filter there, because that folder holds nothing else:

winget install -e --id Gyan.FFmpeg
npx talkthru watch

whisper.cpp has no winget package. Build it from ggml-org/whisper.cpp and point TALKTHRU_WHISPER at the binary.

Written and unit-tested for Windows, but not yet run on a Windows machine — I do not have one. If you try it, an issue either way is useful.


Commands

talkthru watch                  # watch ~/Downloads for screen recordings
talkthru watch ~/some-folder    # watch your own folder, any video
talkthru process video.mp4      # process one file
talkthru list                   # recent sessions
talkthru show latest            # print one
talkthru doctor                 # check the setup
talkthru compact                # reclaim disk: drops old originals, keeps every frame + transcript
talkthru prune                  # delete old sessions entirely

tt also works.


How it works

ffmpeg pulls the frames where your screen actually changed. whisper.cpp transcribes your voice locally, split on the real silence between sentences, so each thing you said lands on the screen you were looking at. An MCP server hands it to your agent.

Needs Node 20.11+.


Why

I built this because I test my own app on my phone every day and kept losing the feedback on the way back to my editor — screenshotting, cropping, trying to describe which screen I meant. Now I just record, talk, and Claude Code picks it up. Sharing it in case it saves you the same trip.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选