MCP YouTube Transcript
de jkawamoto
An MCP server retrieving transcripts of YouTube videos
Se ejecuta en tu computadora★ 495MITActualizado hace 9 días
Instalar
MarketMirror
Resumen
Descripción del creador (original en inglés)
Test ads, prices and sales pitches on simulated buyers; get a go / iterate / no-go report.
Los tres pilares de PopNx MCP
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
- Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
- Nuestras revisiones básicasi1 de 1 superadasRevisado con información pública; el código aún no se ha escaneado
- UsoiAún sin medir★ –
Qué puedes hacer con él
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
- Conexión: Se ejecuta en tu computadora
- Transporte: stdio
- Categoría: Marketing y redes sociales
Instalación
Elige la app de IA que usas y copia la configuración.
Antes de instalar
- Revisiones básicas: 1 de 1 superadas
- Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
- El registro no indica ninguna clave que completar.
Necesitas
- PyPIuv de Python instalado (para el comando uvx)
¿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": {
"market-mirror": {
"command": "uvx",
"args": [
"marketmirror"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add market-mirror -- uvx marketmirrorO copia la configuración tú
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"market-mirror": {
"command": "uvx",
"args": [
"marketmirror"
]
}
}
}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.
O copia la configuración tú
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"market-mirror": {
"type": "stdio",
"command": "uvx",
"args": [
"marketmirror"
]
}
}
}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.
Qué puede hacer
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisiones básicasi
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
- ✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub DarkWorldCoder, dueña del repo
- … Aún sin revisar
Sigue en mantenimiento
Todavía no hemos leído este repo en GitHub
- … Aún sin revisar
Tiene licencia
Todavía no hemos leído este repo en GitHub
- – No aplica
El endpoint responde
Este se ejecuta en tu computadora; no hay endpoint en internet
- – No aplica
Inicio de sesión con OAuth
Se ejecuta en tu computadora y usa ajustes locales en su lugar
- … Aún sin revisar
Sin instrucciones ocultas en las descripciones de herramientas
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con otros en Marketing y redes socialesi
- Más estrellas que el 0% de los otros 2959 servidores de esta categoría
- Publicado en el registro más recientemente que el 74% de los otros 2959 servidores de esta categoría
- Revisiones básicas iguales o mejores que el 100% de los otros 2959 servidores de esta categoría
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Preguntas frecuentes
¿Es seguro MarketMirror?
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.
¿Qué claves o códigos necesita?
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
¿Se ejecuta en mi computadora o en la nube?
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).
¿Sigue en mantenimiento?
El repo de GitHub cambió por última vez –, y la última versión (0.4.2) llegó al registro hace 11 días.
¿Qué apps pueden usarlo?
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
¿Qué puedo usar en su lugar?
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternativas
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
Google Analytics MCP
de surendranb
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
Se ejecuta en tu computadora★ 244MITActualizado hace 9 días
Instalar
BibiGPT YouTube Video Summarizer
de JimmyLv
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Se ejecuta en la nube★ 137MITActualizado hace 9 días
Instalar
README del creador
Abrir el README
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.
MarketMirror: AI Market Research & Marketing Simulation
Try your ads, prices, and sales pitch with simulated buyers before spending on a real campaign.
English · 简体中文
Open source and built for AI agents. Interviewed LLM buyer personas scroll simulated ad feeds, argue in an OASIS social simulation, answer a survey and hear your sales pitch. Ask in plain words (*"test these three ads on young parents in India"*) from Claude Code, Codex, Gemini CLI, Cursor or any MCP client, and get a go / iterate / no-go report in one offline HTML dashboard. Self-hosted: only the model calls (to the provider you choose) and optional public research leave your computer.
Built on MiroFish and CAMEL-AI's OASIS · listed in the official MCP Registry as io.github.DarkWorldCoder/market-mirror
[Open the live demo](https://darkworldcoder.github.io/market-mirror/demo/): the full dashboard from a 2,999-buyer simulated run, in your browser, no install. (Fitloop is an invented app; every number is simulated.)
Try it (Linux, macOS or WSL; needs Git, uv and Python 3.12):
git clone https://github.com/DarkWorldCoder/market-mirror.git && cd market-mirrorbash install.sh --configure # installs the engine, then asks which model provider to use ./mm start && ./mm cli quickstart --out scenarios/acme # 9 questions; prepares a small simulated market, then stops for review
The last line already makes model calls on the provider you chose, so start with a small market. If you chose a Claude Code or Codex login, run ./mm gateway start claude (or codex) before it. Already in an MCP client? Add the server with claude mcp add market-mirror -- uvx marketmirror (any client: command uvx, args ["marketmirror"]), then ask your agent to run doctor and setup. Full quick start.
If MarketMirror saves you one bad launch, a ⭐ helps other people find it. To hear about new tests and releases, use Watch → Custom → Releases.
▶ Watch the 60-second launch film (with captions) · vertical 9:16 cut · made with HyperFrames from launch-video/
Meet the buyers · What you can test · Screenshots · How it works · Example results · Evidence and limits · Get started · Documentation
What is MarketMirror?
MarketMirror gives you a practice audience for your next marketing decision. Describe your product and the people you want to reach. It creates AI-generated people who can react to your ads, compare prices, ask questions, raise concerns, and respond to a sales pitch.
You get a report explaining what interested them, what put them off, what to change, and what to test with real customers next. You can also watch the simulation and explore the results in a dashboard.
For example: you are launching a fitness app. Should the ad lead with “15 minutes a day” or “less than one gym visit”? Should the free trial ask for a payment card? MarketMirror lets you rehearse those choices before a live campaign.
The buyers are simulated. Their responses are generated by AI, so use them to develop and compare ideas. Confirm promising findings with real customers and small live experiments.
Who is it for?
| If you are… | Use MarketMirror to… |
|---|---|
| A founder or small business owner | Explore how different people might understand your product, price, or launch offer. |
| A marketer or agency | Compare ads, headlines, emails, and audiences before choosing a live test. |
| A sales team | Practice a pitch, discover likely concerns, and try clearer answers. |
| A product or research team | Explore buying decisions and website journeys, then plan customer research. |
| A developer or AI agent builder | Run the same workflows through commands, an API, a Python library, or connected AI assistants. |
Meet the simulated buyers
A simulated buyer is an AI-generated character representing someone in your intended audience. The character has a background and practical reasons for accepting, questioning, or rejecting an offer.
You choose the groups you want to explore—for example, students, working parents, and young professionals in selected countries. MarketMirror creates different people within those groups and can ask them about their lives before showing them your marketing.
| What a buyer can have | Why it matters in a test |
|---|---|
| A background | Age, location, work, and life stage provide context for their response. |
| A budget and priorities | An offer may interest them but still compete with more urgent expenses. |
| A phone and internet connection | A heavy page or video may be inconvenient on their device or data plan. |
| People they consult | A partner, family member, or community may influence a purchase. |
| Trust concerns | Hidden fees, unclear claims, or a previous bad experience may make them hesitate. |
| A buying decision card | A summary records what could persuade them, what could stop them, and who else matters. |
An illustrative buyer: a busy parent who wants short home workouts, uses a budget phone, and worries about surprise charges. They might like a low monthly price but reject a “free” trial that immediately asks for a payment card. Another buyer may care more about workout quality than price. These are invented examples, not findings from real customers.
In tests within the same run, buyers can remember earlier experiences. Someone who disliked an ad can carry that reaction into a later survey or pitch. Separate comparison scenarios keep their own histories.
Detailed characters help you explore different viewpoints. They do not make the generated answers representative of a real population.
What you can test
| Your question | What MarketMirror does | What you can learn from the simulation |
|---|---|---|
| Which ad gets attention? | Places your ads among ordinary posts in simulated Facebook, Instagram, Reddit, TikTok, LinkedIn, or X feeds. | Which ads buyers stop at, ignore, click, comment on, or hide. |
| Which headline or message is clearer? | Shows different versions to different buyers and asks for their reactions. | Which wording draws interest and which creates confusion. |
| Does the price or offer feel right? | Asks price questions and compares offers or pricing tiers. | Where price becomes a concern and which terms need explaining. |
| What might happen around a launch? | Lets buyers post, reply, and react in a simulated social conversation with scheduled brand posts and events. | Questions, objections, and themes that emerge in the discussion. |
| Will an email interest them? | Tests subject lines, email content, or a sequence in simulated inboxes. | Generated opening, reading, and response choices. No emails are sent. |
| How does our sales pitch land? | Presents the pitch, collects concerns, tries your answers, and asks again. | Which concerns persist and whether your response helps or makes things worse. |
| Where does our website lose people? | Sends simulated visitors through a real website and records their actions. | Where they hesitate, leave, or complete a checked task such as adding to cart. |
| Which audience should we investigate first? | Compares responses across the groups and countries you selected. | Differences worth following up with real customer research. |
| What should we test next? | Uses the run and, when supplied, real campaign exports to suggest follow-up experiments. | A practical starting point for the next live test. |
| Do the simulations match our results? | Compares paired simulated and observed outcomes. | How well the simulation held up on those experiments and where it needs adjustment. |
You can repeat a comparison to see whether its result changes between runs. You can also use different AI providers and inspect where they disagree. Both help reveal uncertainty within the simulation.
The process at a glance
- Describe your product. Provide a brief, documents, or a website: what you sell, who it helps, what it costs, and what supports your claims. You can also bring linked public feedback or campaign exports.
- Choose your audience. Describe the groups and locations you want to explore. MarketMirror creates the simulated people. Review their profiles befo
Solo se muestra el principio; lee el resto en el repo