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Talkthru

by EdonZoversion 0.3.1i★ –iRuns on your computer
Registry nameio.github.EdonZo/talkthru

Install

Overview

Description from the maker (original English)

Talk while using your app — your coding agent gets each sentence aligned to the frame. Fully local.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add talkthru -- npx -y talkthru-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account EdonZo, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32537 servers in this category
  • Published to the registry more recently than 30% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Talkthru safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
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TF Rooms

by tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

talkthru

[talkthru.dev](https://talkthru.dev) · npm · @dr_edon · 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.

*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.

1 · 2. press ⌘⇧5 , pick a record mode, open Options

  1. Save to → Downloads — the folder talkthru watch looks at
  2. pick your mic under Microphone
  1. hit Record and talk as you use your app

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 Control → Screen Recording. Then press and hold it and turn the microphone on.

  1. tap +
  2. Add a Control
  3. pick Screen Recording
  1. press and hold ◉
  2. Microphone On
  3. tap ◉ and talk

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](https://github.com/EdonZo/talkthru/blob/main/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](https://github.com/EdonZo/talkthru/blob/main/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.

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