MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Remote SEO/GEO MCP: Search Console, keyword research, backlinks, competitor & on-page audits.
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.
AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Ejecuta esto en tu terminal
claude mcp add --transport http visibly-ai https://mcp.visibly-ai.com/mcp --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"visibly-ai": {
"url": "https://mcp.visibly-ai.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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": {
"visibly-ai": {
"type": "http",
"url": "https://mcp.visibly-ai.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub AntonioBlago, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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.
Debes completar: Authorization
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 5 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
A batteries-included Claude Code blueprint for SEO freelancers and agencies. Wire up the Visibly AI MCP, get ready-made slash commands for the full client workflow — Status-Quo → Potential Analysis → Offer → CI-compliant PDF — and a smart hook that nudges Claude toward real SEO data instead of guessing.
Built and battle-tested by [Antonio Blago](https://www.antonioblago.com) — SEO Freelancer & creator of the Neuro-SEO System®.
Quickstart • What's inside • Workflows • CTR Model • Customise • Get a free key • Book a call
SEO consulting is the same five jobs over and over: pull the real ranking data, map it against the client's keyword set, quantify the opportunity, turn that into an offer, and ship a presentable PDF. Claude Code can do all of it — *if* you give it the data sources, the methodology, and the guardrails.
This repo packages exactly that — and it runs without any API key. Install it and the bundled .mcp.json connects to the Visibly AI MCP keyless, giving you the free knowledge tools (keyword classification, SEO checklists, Google guidelines, URL-structure analysis) plus the full local methodology; bring your own Search Console export and the entire Status-Quo → Potential → Offer → PDF chain runs offline. Add a Visibly AI key when you want the data engine on tap — live GSC/GA at 0 credits, keywords, backlinks, competitors and on-page audits through one MCP. Free by default, pro when you need it.
| Piece | What it does |
|---|---|
| `.mcp.json` | Pre-wired Visibly AI MCP connection — keyless by default (free knowledge tools); add a key to unlock live GSC, keywords, backlinks, competitors, on-page audits, crawling. |
| `/visibly-seo-status-quo` | Maps a client's live organic visibility: GSC × target keywords, classification, quick wins. |
| `/visibly-seo-potential` | Potential analysis: empirical CTR model → realistic 12-month targets → traffic, lead & ROI math. |
| `/visibly-seo-offer` | Drafts a tailored, phased SEO consulting offer from your analysis + client context. |
| `/visibly-seo-pdf-build` | Turns any analysis script into a clean, brand-compliant PDF. |
| SEO hook | A UserPromptSubmit hook that detects SEO intent and steers Claude to Visibly AI MCP tools instead of generic scraping. |
| `CLAUDE.md` | A project-instruction template encoding the whole workflow + folder conventions. |
| `docs/` | The methodology written out: workflows, the CTR model, and best practices. |
There are two ways to use this — pick one.
/plugin marketplace add AntonioBlago/claude-code-seo-starter
/plugin install seo-starter@antonioblago
You get the /visibly-seo-status-quo, /visibly-seo-potential, /visibly-seo-offer, /visibly-seo-pdf-build commands, the auto-invoked SEO skills, the SEO-intent hook, and the keyless Visibly AI MCP — wired in. No key needed to start — approve the MCP server and you have the free knowledge tools plus the full local workflow.
Want the full data engine (live GSC, keywords, backlinks, on-page)? Add a Visibly AI key — grab one at visibly-ai.com (~30s, no card), then connect it once (resolves at write time, stays out of git):
claude mcp add --transport http visiblyai https://mcp.visibly-ai.com/mcp --header "Authorization: Bearer lc_xxxxxxxxxxxxxxxx"
Restart with /reload-plugins if needed. See docs/setup.md for the pro tier, Google-OAuth (0 credits) and optional DataForSEO wiring.
Use the full repo (docs, PDF template, setup script) as a project scaffold.
curl -fsSL https://claude.ai/install.sh | bash (macOS, Linux, WSL) or irm https://claude.ai/install.ps1 | iex (Windows PowerShell). New to Claude Code? Start with claude-homebase: /homebase sets up your global CLAUDE.md and project structure, then pick the SEO path to land here.# Use it as a GitHub template, or just clone:
git clone https://github.com/AntonioBlago/claude-code-seo-starter.git cd claude-code-seo-starter
Skip this for the free tier — the keyless .mcp.json already works. To unlock the full data engine, create a free account at [visibly-ai.com](https://visibly-ai.com), copy your lc_... key, and connect it once (resolves at write time, stays out of git):
claude mcp add --transport http visiblyai https://mcp.visibly-ai.com/mcp --header "Authorization: Bearer lc_xxxxxxxxxxxxxxxx"
Full tier breakdown, Google-OAuth (live GSC/GA at 0 credits) and optional DataForSEO wiring: [`docs/setup.md`](docs/setup.md).
claude
On first run, Claude Code will ask you to approve the Visibly AI MCP server. Approve it, then try:
/visibly-seo-status-quo example.com
That's it. On the free tier, feed a GSC export to the Python templates; with a key, data is pulled live. Either way you're running the full SEO workflow.
Each slash command corresponds to one phase of a real client engagement. They chain:
/visibly-seo-status-quo <domain> → /visibly-seo-potential <domain> → /visibly-seo-offer <domain> → /visibly-seo-pdf-build <script.py>
(where do we (what's the upside, (what should the (hand the client a rank today?) in clicks & €?) client buy?) polished PDF)
Full methodology is documented in [`docs/workflows.md`](docs/workflows.md).
The potential analysis is only as good as its click-through-rate curve. This repo ships the [Keyword Study 2026](https://www.antonioblago.com/keyword-study-2026-organic-search-ctr) — CTR by position from first-party Google Search Console data (1.3M keywords, 94 domains) — instead of the inflated textbook numbers most templates still use.
The differentiator: the curve is intent-aware. A navigational keyword at position 1 earns ~8.9% CTR; an informational one ~3.2%. Forecasting with one blended number quietly mis-states the upside. See [`docs/ctr-model.md`](docs/ctr-model.md) for the full intent-by-position table and the Python to apply it. Honest inputs → defensible forecasts → offers that survive scrutiny.
No surprises about data flow:
.mcp.json connects to mcp.visibly-ai.com without an account. Only the free knowledge tools respond (checklists, guidance, Google guidelines, keyword classification, URL-structure checks) — no client data involved.query_search_console, query_analytics, keywords, backlinks, on-page) route through the Visibly AI backend, hosted on Railway in the EU. Your GSC/GA data passes through that backend to reach Claude — that's the product, not a side effect. And it takes three explicit opt-ins before a single GSC row can flow: create a Visibly account, add your API key, and connect your Google account via OAuth inside Visibly. Without the Google consent, query_search_console has no property to read. Not acceptable for a client? Don't add the key: feed a GSC export to the local Python templates instead — the full workflow still runs..claude/settings.json auto-allows only metadata and the free knowledge tools. Every tool that reads client data (GSC, GA, keywords, backlinks, on-page, crawling) sits in ask — Claude prompts before using it..claude/hooks/seo-check.sh) runs locally, sends nothing anywhere, and only injects a reminder to use real data instead of guessing when your prompt looks SEO-related. Don't want the nudge? Delete the hook.Everything is plain Markdown and shell — fork and adapt:
CLAUDE.md and templates/pdf_example.py with your colours, fonts, contact block..mcp.json. See docs/setup.md. Free walkthrough for building your own GSC access from scratch: Indexing Checker für die Google Search Console (German)..claude/commands/*.md files *are* the workflows. Rewrite them in your own words..claude/hooks/seo-check.sh with your own keyword triggers.See [`docs/setup.md`](docs/setup.md) for a deeper walkthrough and [`docs/best-practices.md`](docs/best-practices.md) for the hard-won lessons.
claude-code-seo-starter/
├── .claude-plugin/ # makes this repo an installable plugin + marketplace │ ├── plugin.json # plugin manifest │ └── marketplace.json # marketplace catalog (one repo = both) ├── .mcp.json # Visibly AI MCP connection — keyless (free tools); add key for pro ├── server.json # MCP-registry manifest (publish via mcp-publisher) ├── .env.example # copy → .env — optional key + separate data sources ├── CLAUDE.md # project instructions Claude reads on every run ├── .claude/ │ ├── commands/ # /visibly-seo-status-quo /visibly-seo-potential /visibly-seo-offer /visibly-seo-pdf-build │ ├── skills/ # auto-invoked SEO skills (status-quo, potential, offer, pdf) │ ├── hooks/ # seo-check.sh + hooks.json — SEO-intent nudge │ └── settings.json # hook registration + permissions (free tools allowed, data tools ask) ├── docs/ │ ├── setup.md # detailed setup │ ├── workflows.md # the 4-phase methodology │ ├── ctr-model.md # empirical CTR curve │ ├── folder-structure.md # client knowledge base + CI base conventions │ ├── best-practices.md # lessons learned │ └── promote.md # discoverability checklist (registry, awesome lists) ├── templates/ │ ├── ci/ # CI base — brand.py (constants) + CI.md (reference) │ ├── client-template/ # copy → clients/ / (CLAUDE.md + _knowledge/) │ ├── status-quo-template.md # fill-in status-quo skeleton (classification, quick wins) │ ├── potential-template.md # fill-in potential skeleton (deltas, clusters, ROI scenarios) │ ├── offer-template.md # fill-in offer skeleton (phases, pricing, ROI, terms, CTA) │ └── pdf_example.py # minimal CI-PDF starter (fpdf2) └── scripts/ └── check-setup.sh # verify your env is wired correctly
| Repo | What it adds |
|---|---|
| claude-homebase | How to set up Claude Code from scratch: /homebase interviews your role and builds CLAUDE.md, folders, skills and learnings |
| [claude-context-guard](https://github.com/AntonioBlago/claude-context-gu
Solo se muestra el principio; lee el resto en el repo