Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Talk while using your app — your coding agent gets each sentence aligned to the frame. Fully local.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account EdonZo, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms
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
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.
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[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.*
npx talkthru doctor --fix
Pulls ffmpeg, whisper.cpp and the speech model. Nothing else to set up.
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.
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.
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
No mic selected means a silent video and nothing to transcribe. Worth checking before your first recording.
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.
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.
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.
Your words, attached to the screen that was up when you said them:
## 00:34 · f11 — `frames/f11.jpg`
frames/f13.jpg
Plus the frames. A two-minute session is about 600 tokens.
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
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.
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
{ "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)
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.
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.
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+.
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.