MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Check a social post against a platform's real character limit: X, Bluesky, LinkedIn, Threads.
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": {
"postlint": {
"command": "npx",
"args": [
"-y",
"@conorbronsdon/postlint-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add postlint -- npx -y @conorbronsdon/postlint-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"postlint": {
"command": "npx",
"args": [
"-y",
"@conorbronsdon/postlint-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": {
"postlint": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@conorbronsdon/postlint-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 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub conorbronsdon, 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 (1.1.0) llegó al registro hace 3 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: 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.
Maintenance mode. This project is stable and receives security fixes. New features aren't planned, but issues and pull requests are still welcome.
Check a social post against a platform's real character limit before it ships. X, Bluesky, LinkedIn, Threads, Mastodon, Discord. Pure compute — no API, no auth, no network.
Recorded from docs/demo.tape with vhs . The posts and counts come from scripts/fixtures.mjs , which the regression tests import too.
An MCP server that answers one question: does this post fit?
A language model cannot count characters by inspection, and on these platforms neither can you. The limits are not what they look like. X bills every URL at 23 characters through t.co whether the link is 12 characters or 200. Bluesky counts extended grapheme clusters, so a four-person family emoji is 1 and not 11. Mastodon charges nothing for the domain on a remote mention. Getting any of that wrong shows up as a rejected post, or a truncated one, at publish time.
Counting is what a tool call is for. The model cannot do it by inspection, and a deterministic function can do it exactly.
Why this exists. Two posts went out of a podcast promo workflow over the limit. A Bluesky post shipped at 302 against 300, with the line "Under 300 graphemes. Audit clean." sitting directly beneath it. An X post was drafted at 308 against 280 and would have been rejected on launch morning. Both were invisible to eyeballing, because in both cases the count was a claim and not a measurement. Both are regression tests in this repo.
| Tool | What it returns |
|---|---|
check_post | Verdict for one platform: counted length, the limit, headroom, and what drove the count |
check_post_all | One row per platform, with the breakdown attached only to the rows that fail |
platform_limits | Each platform's limit, its counting unit, why that unit is not a character count, and the source |
Responses are small on purpose. check_post_all omits the arithmetic on passing rows because agents pay tokens per response.
| Platform | Limit | Unit | The part that surprises people | Source |
|---|---|---|---|---|
x | 280 | weighted characters | Every URL costs exactly 23. CJK, Hangul, and emoji cost 2 each; Latin, Greek, Cyrillic, Hebrew, and Arabic cost 1. An emoji sequence is one unit of 2, not 2 per code point. | twitter-text v3 config |
x_premium | 25,000 | weighted characters | Same weighting, higher ceiling. | X help center |
bluesky | 300 | graphemes | Flags, ZWJ emoji, skin-tone modifiers, and combining accents each count as 1. URLs count in full. A second cap of 3,000 UTF-8 bytes can bind first on ZWJ-heavy text. | atproto lexicon |
linkedin | 3,000 | characters | The 3,000 is generous; the fold is the real constraint. The feed collapses the post behind "see more" after a few lines. | LinkedIn help |
threads | 500 | characters | The September 2025 change added a 10,000-character *attachment*. The post body is still 500. | Meta newsroom |
mastodon | 500 | graphemes | URLs cost 23, as on X. On @user@example.social only @user counts. The limit is per-instance and plenty of servers run higher. | Mastodon API docs |
discord | 2,000 | characters | 4,000 with Nitro. Embeds have a separate 6,000 total. | Discord support |
Every number above traces to a published source. Widely repeated figures that no primary source states — the Facebook post limit, the YouTube community post limit, Reddit's title cap, Instagram's organic caption cap — are deliberately absent. A limit that cannot be defended makes a passing check worth nothing.
Published on npm. The config blocks below use npx, which fetches it on first run; no clone required.
git clone https://github.com/conorbronsdon/postlint-mcp.git
cd postlint-mcp npm install npm run build
Add to your .mcp.json:
{
"mcpServers": { "postlint": { "command": "npx", "args": ["-y", "@conorbronsdon/postlint-mcp"] } } }
Same block, in claude_desktop_config.json.
Add to ~/.codex/config.toml:
[mcp_servers.postlint]
command = "npx" args = ["-y", "@conorbronsdon/postlint-mcp"]
No token, no environment variables, no network access. To run a local build instead, set command to node and args to the absolute path of dist/index.js in your clone.
Ask your assistant: "Check this post for X and Bluesky," and paste something with a couple of links in it.
The X post that started this, run through check_post with platform: "x":
{
"platform": "x", "limit": 280, "unit": "weighted characters", "length": 308, "over": true, "remaining": -28, "drivers": [ "3 URLs counted as 23 each = 69", "239 other characters counted as 1 each" ], "warnings": [] }
The drivers line is the useful part. 69 of the budget went to links before a word was written, which tells you to move two of them into a reply rather than trimming prose.
The same post through check_post_all:
{
"fits": ["x_premium", "linkedin", "threads", "mastodon", "discord"], "over": ["x", "bluesky"], "rows": [ { "platform": "x", "length": 308, "limit": 280, "over": true, "drivers": ["3 URLs counted as 23 each = 69", "239 other characters counted as 1 each"] }, { "platform": "bluesky", "length": 330, "limit": 300, "over": true, "drivers": ["3 URLs counted in full = 91 (Bluesky does not shorten links)", "239 other graphemes"] }, { "platform": "mastodon", "length": 308, "limit": 500, "over": false, "remaining": 192 } ] }
One post, three different lengths — 308, 330, and 308 again — from the same 330 characters of text. That gap is the whole reason this exists.
Drafts carry link placeholders, and [URL] is five characters while a real link is not. A post measured with the placeholder in place and posted with the link filled in is a post measured wrong; one draft came in at 264 that way and posted at 282.
So [URL], [LINK], [YOUTUBE URL], [SUBSTACK URL], and similar are priced as a real link (a 28-character YouTube short link, the shortest thing normally posted) and the response carries a warning saying the count is a floor.
fetch, XMLHttpRequest, and WebSocket with throws and drives every tool, so a call added later fails CI instead of quietly making this sentence false.configuration.statuses.max_characters from the target server yourself.truncate_to helper was considered and left out. Cutting a post at a character offset splits URLs, breaks grapheme clusters, and lands mid-sentence, and cutting it at a "safe" boundary silently drops whichever clause happened to be last. Either way the tool would be deciding what the post says. It reports the number and leaves the edit to you.www.-prefixed hosts always match. A bare domain matches only on a common TLD (src/count.ts holds the list), where the real twitter-text implementation carries the full IANA registry. Write https:// in front of a link and the count is exact.npm install
npm run build npm test
Tests make no network calls, because the server makes none. The two historical over-limit posts are regression fixtures in src/__tests__/lint.test.ts, alongside grapheme cases for ZWJ family emoji, regional-indicator flags, skin-tone modifiers, combining accents, and CJK.
Issues and pull requests are welcome. A new platform needs three things: the limit, the unit it is measured in, and a published source. A new counting rule needs a test that fails without it. Numbers repeated by third parties are not sources.
Built and maintained by Conor Bronsdon. I host the Chain of Thought podcast, which covers AI infrastructure, developer tools, and how practitioners actually use this stuff. I built this after shipping two over-limit posts in a workflow that was supposed to catch them.
Companion tools:
More at chainofthought.show and on X.
*This is an independent personal project, not affiliated with, sponsored by, or endorsed by any company. All views expressed are my own.*
Apache-2.0