Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Talk while using your app — your coding agent gets each sentence aligned to the frame. Fully local.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"talkthru": {
"command": "npx",
"args": [
"-y",
"talkthru-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add talkthru -- npx -y talkthru-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"talkthru": {
"command": "npx",
"args": [
"-y",
"talkthru-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"talkthru": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"talkthru-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub EdonZo, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.1) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
[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.