MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Production-ready images in one pass: resize, crop, compress, convert format, upscale, tag for SEO
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 …”.
Funciona en Claude para web, escritorio y móvil:
https://app.glassypic.com/mcpAbre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"glassypic": {
"command": "npx",
"args": [
"-y",
"@glassypic/mcp-server"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http glassypic https://app.glassypic.com/mcpclaude mcp add glassypic -- npx -y @glassypic/mcp-serverPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"glassypic": {
"url": "https://app.glassypic.com/mcp"
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"glassypic": {
"command": "npx",
"args": [
"-y",
"@glassypic/mcp-server"
]
}
}
}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": {
"glassypic": {
"type": "http",
"url": "https://app.glassypic.com/mcp"
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"glassypic": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@glassypic/mcp-server"
]
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
https://app.glassypic.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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.
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 onepunchtechnology, 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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (2.1.3) llegó al registro hace 22 días.
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.
MCP server for GlassyPic. One tool that turns raw images into production-ready assets: upscaling, resizing and cropping, compression, file format conversion, and SEO filename and alt text generation. Describe the outcome you want in natural language.
Add to your MCP client config:
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
No signup required. Works out of the box with 20 free daily credits.
Windows users: If the server doesn't appear after editing a JSON config, your client likely can't resolve
npxfrom PATH (a common, silent failure). Wrap the command withcmd /c:
`json
{
"mcpServers": {
"glassypic": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@glassypic/mcp-server@latest"]
}
}
}
`
This applies to the hand-edited JSON configs below (Claude Desktop, Cursor, Windsurf, Cline). The CLI commands (Claude Code, Gemini CLI, Codex CLI) are unaffected.
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
</details>
Claude Code
claude mcp add glassypic -- npx -y @glassypic/mcp-server@latest
Cursor
Add to .cursor/mcp.json in your project root:
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
</details>
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
</details>
Smithery Install via Smithery:
Cline
Open Cline settings → MCP Servers → Add, then paste:
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
</details>
Gemini CLI
gemini mcp add --transport stdio glassypic npx -y @glassypic/mcp-server@latest
Or edit ~/.gemini/settings.json (global) or .gemini/settings.json in your project root:
{
"mcpServers": { "glassypic": { "command": "npx", "args": ["-y", "@glassypic/mcp-server@latest"] } } }
Verify it's running inside Gemini CLI with /mcp list.
OpenAI Codex CLI
codex mcp add glassypic -- npx -y @glassypic/mcp-server@latest
Or edit ~/.codex/config.toml manually:
[mcp_servers.glassypic]
command = "npx" args = ["-y", "@glassypic/mcp-server@latest"]
</details>
optimize_imageOne tool that turns a supplied image into a production-ready asset through a fixed server-side pipeline (typically 60-80% size reduction), with optional resize, upscale, format conversion, and SEO metadata generation. Inputs include JPEG, PNG, WebP, AVIF, GIF, SVG, ICO, HEIC, TIFF, and BMP. Outputs are JPEG, PNG, WebP, AVIF, GIF, SVG, and ICO. Accepts absolute local file paths or remote URLs.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
input | string | Yes | — | Absolute local file path or remote URL |
output_path | string | No | auto | File path or directory (ending in /). If omitted: saves next to the original, using the SEO slug when one is generated, otherwise a .polished suffix |
output_format | string | No | original | jpg, png, webp, avif, gif, svg, ico, or original |
output_width_px | int | No | — | Target width in pixels |
output_height_px | int | No | — | Target height in pixels |
output_upscale_factor | int | No | — | AI upscale factor: 2 (2×) or 4 (4×) |
output_resize_behavior | string | No | pad | pad (white padding) or crop (smart crop). Only used when both width and height are set |
output_seo_tag_gen | bool | No | true | Generate SEO metadata and rename file to SEO slug. Costs 1 extra credit |
output_file_size_limit | int | No | — | Target maximum output file size in bytes. Server attempts to meet this via additional compression. Not guaranteed |
gif_frame_limit | int | No | 100 | Max frames to process for animated GIFs (1–100). Reduces credit cost by sampling fewer frames |
confirm_gif_cost | bool | No | — | Set to true to proceed after reviewing the animated GIF cost warning. Required for animated GIFs |
| Dimensions provided | Behavior | output_resize_behavior |
|---|---|---|
| Width only | Proportional scale | N/A |
| Height only | Proportional scale | N/A |
| Width + Height | Exact dimensions, white padding | pad (default) |
| Width + Height | Exact dimensions, smart crop | crop |
Basic compression — just compress, keep format and dimensions:
{ "input": "/Users/me/photos/hero.png" }
Convert to WebP:
{ "input": "/Users/me/hero.png", "output_format": "webp" }
Resize proportionally — set one dimension, the other scales:
{ "input": "/Users/me/hero.png", "output_width_px": 1200 }
Exact dimensions with padding — white bars fill the gap:
{ "input": "/Users/me/hero.png", "output_width_px": 1080, "output_height_px": 1080 }
Exact dimensions with smart crop:
{ "input": "/Users/me/hero.png", "output_width_px": 1080, "output_height_px": 1080, "output_resize_behavior": "crop" }
AI upscale 4x:
{ "input": "/Users/me/icon.png", "output_upscale_factor": 4 }
From URL, save to directory:
{ "input": "https://example.com/photo.jpg", "output_path": "/Users/me/assets/" }
Skip SEO to save 1 credit:
{ "input": "/Users/me/hero.png", "output_seo_tag_gen": false }
Returns a text summary and structured metadata:
Optimized: /Users/me/photos/modern-office-workspace.webp
Size: 142.3 KB Compression: 73% Format: webp Dimensions: 1920x1080 Alt text: Modern office workspace with laptop and coffee cup on wooden desk
Structured output fields:
{
"output_path": "/Users/me/photos/modern-office-workspace.webp", "output_size_bytes": 145715, "output_width_px": 1920, "output_height_px": 1080, "output_format": "webp", "compression_ratio": 0.27, "seo_alt_text": "Modern office workspace with laptop and coffee cup on wooden desk", "seo_keywords": ["office", "workspace", "laptop", "desk", "modern"], "seo_filename": "modern-office-workspace" }
| Format | Input | Output | Notes |
|---|---|---|---|
| JPG | Yes | Yes | |
| PNG | Yes | Yes | |
| WebP | Yes | Yes | |
| AVIF | Yes | Yes | |
| GIF | Yes | Yes | Animated GIFs preserved when output is GIF |
| SVG | Yes | Yes | SVG→SVG optimized via SVGO; raster↔SVG conversion supported |
| ICO | Yes | Yes | Smart rebuild: generates 16, 24, 32, 48, 256px favicon set |
| HEIC/HEIF | Yes* | No | Auto-converted to JPG at upload |
| TIFF | Yes* | No | Auto-converted to JPG at upload |
| BMP | Yes* | No | Auto-converted to JPG at upload |
GlassyPic supports high-quality conversion between any input and output format combination. Converting an animated GIF to a non-GIF format (JPG, PNG, WebP, AVIF) preserves only the first frame. Converting an animated GIF to a GIF format supports upscaling/resizing while preserving the animation and quality. You may also reduce animated GIF file size by decreasing the number of output frames.
Max upload file size: 50 MB.
# Optimize an SVG file (keeps as vector)
Optimize logo.svg and keep it as SVG
Convert icon.svg to a 512x512 PNG
Convert my logo.png to a vector SVG
Convert logo.png to an ICO favicon
Convert logo.png to a 32x32 ICO
Convert favicon.ico to PNG
Local file or URL
→ Upload to GlassyPic API → Optional AI upscale (explicit, or automatic when a resize target exceeds the source by more than 1.2×) → Optional resize → Compression → Optional SEO metadata → Download optimized file → Save with the SEO filename slug, or a .polished suffix when SEO is off or returns no slug
All processing happens server-side via the GlassyPic API. The MCP server is a thin client that orchestrates the pipeline.
Guests can use the tool with no signup. Logging in links your GlassyPic account and shares its credits with the web app. Allowances differ by plan and change over time: run the status tool for your live balance, or see glassypic.com/pricing for plans. A default run (compress + SEO tags) costs 4 credits per image.
Session data is stored locally at ~/.glassypic/session.json and persists across invocations.
When a resize target exceeds the source image by more than 1.2×, GlassyPic automatically runs an AI upscale before resizing, so enlargements ship sharp instead of blurred. This happens without output_upscale_factor being set and adds 2 credits.
A resize-only call therefore costs the same as a full pipeline when the source is smaller than the target:
| Call | Credits |
|---|---|
| Compress only, no SEO tags | 3 |
| Compress + SEO tags (defaults) | 4 |
| Resize down + SEO tags | 5 |
| Resize up past 1.2× + SEO tags | 7 |
| Compress + resize + explicit upscale + tags | 7 |
| SVG or ICO output | 1 (flat, overrides the above) |
Animated GIFs are billed per frame — see the confirm_gif_cost parameter.
Log in to unlock more credits and share them across the web app and MCP server:
Use the login tool to sign in.
Use the status tool to check your current credits. Use the upgrade tool to open the pricing page. Use the logout tool to sign out.
Opens a browser window to complete login (Google, Facebook, or email/magic link). After approval, your account is linked and credits are shared with the web app.
Login complete: user@example.com (Pro tier, 3,150 of 3,300 credits remaining)
Check your current account status and credits before batch processing:
Logged in as user@example.com (Pro tier)
Credits: 3,150 of 3,300 remaining Resets: 03/01/2026, 12:00 AM PST
Revokes the session and reverts to guest mode.
Opens glassypic.com/pricing in your browser.
Paste this into your CLAUDE.md or system prompt to help agents use the tool effectively:
## GlassyPic MCP
Tools: optimize_image, login, logout, status, upgrade
Solo se muestra el principio; lee el resto en el repo