MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Read LinkedIn profiles, companies, jobs and messages via your own browser session
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.
LINKEDIN_COOKIE, LINKEDIN_HEADLESS, LINKEDIN_MIN_INTERVAL, LINKEDIN_MAX_PER_HOURLos 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 …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"linkedin-api": {
"command": "uvx",
"args": [
"linkedin-api-mcp"
],
"env": {
"LINKEDIN_COOKIE": "your-value",
"LINKEDIN_HEADLESS": "your-value",
"LINKEDIN_MIN_INTERVAL": "your-value",
"LINKEDIN_MAX_PER_HOUR": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add linkedin-api --env LINKEDIN_COOKIE=your-value --env LINKEDIN_HEADLESS=your-value --env LINKEDIN_MIN_INTERVAL=your-value --env LINKEDIN_MAX_PER_HOUR=your-value -- uvx linkedin-api-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"linkedin-api": {
"command": "uvx",
"args": [
"linkedin-api-mcp"
],
"env": {
"LINKEDIN_COOKIE": "your-value",
"LINKEDIN_HEADLESS": "your-value",
"LINKEDIN_MIN_INTERVAL": "your-value",
"LINKEDIN_MAX_PER_HOUR": "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": {
"linkedin-api": {
"type": "stdio",
"command": "uvx",
"args": [
"linkedin-api-mcp"
],
"env": {
"LINKEDIN_COOKIE": "your-value",
"LINKEDIN_HEADLESS": "your-value",
"LINKEDIN_MIN_INTERVAL": "your-value",
"LINKEDIN_MAX_PER_HOUR": "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.
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.
LINKEDIN_HEADLESS envLINKEDIN_MIN_INTERVAL envLINKEDIN_MAX_PER_HOUR envEsta 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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub JohannsenLum, 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.
Debes completar: LINKEDIN_COOKIE
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 (1.0.1) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) 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:↓ Descargas por semanai★ 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.
Disclaimer: This is an independent, community project. It is not affiliated with, authorized by, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. "LinkedIn" is a registered trademark of LinkedIn Corporation and is used here only descriptively to identify the third-party service this software interoperates with.
An MCP server for LinkedIn. It drives a real, headless browser (patchright, an undetected fork of Playwright) using your own logged-in LinkedIn session cookie. There is no scraping API, no credential stuffing, no bypass of LinkedIn's login. Your agent gets 12 read tools (profiles, companies, jobs, posts, your inbox) and two write tools, kept deliberately separate: sending a message and sending a connection request. Every action goes through a single browser session, one at a time, paced against limits you control. See Safety below.
Documentation: [mcp.johannsenlum.com/linkedin](https://mcp.johannsenlum.com/linkedin)
Deeplinks exist for Cursor and VS Code only; no other client has a documented install-link format. These prefill the command below, nothing else needs filling in since the cookie lives in your OS keyring, not an environment variable.
| Client | Deeplink? |
|---|---|
| Claude Code | no, one-line command |
| Claude Desktop | no |
| Cursor | yes, above |
| VS Code | yes, above |
| Codex CLI | no |
| Zed | no |
| Windsurf | no (Windsurf only resolves servers in its own registry) |
Claude Code
claude mcp add linkedin -- uvx linkedin-api-mcp
Claude Desktop : claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
No one-click install exists for Claude Desktop (it installs .mcpb bundles, not deeplinks). Copy this JSON in via Settings → Developer → Edit Config:
{
"mcpServers": { "linkedin": { "command": "uvx", "args": ["linkedin-api-mcp"] } } }
Cursor : ~/.cursor/mcp.json
Fallback for the button above, or if you'd rather paste it directly:
{
"mcpServers": { "linkedin": { "command": "uvx", "args": ["linkedin-api-mcp"] } } }
VS Code : .vscode/mcp.json
Fallback for the button above, or if you'd rather paste it directly. Note VS Code uses a servers key, not mcpServers:
{
"servers": { "linkedin": { "type": "stdio", "command": "uvx", "args": ["linkedin-api-mcp"] } } }
Codex CLI : ~/.codex/config.toml
[mcp_servers.linkedin]
command = "uvx" args = ["linkedin-api-mcp"]
Codex CLI's config schema has changed across versions and this block is not independently verified against a live install. If it doesn't load, the reliable path is running uvx linkedin-api-mcp yourself and pointing Codex at whatever its current stdio-server config expects.
Zed : settings.json
No deeplink exists for Zed. Add this under context_servers in your Zed settings:
{
"context_servers": { "linkedin": { "source": "custom", "command": "uvx", "args": ["linkedin-api-mcp"] } } }
Windsurf : ~/.codeium/windsurf/mcp_config.json
No deeplink exists for Windsurf. It only resolves servers from its own registry, so this has to be pasted in manually via Windsurf Settings → MCP Servers → Edit raw config:
{
"mcpServers": { "linkedin": { "command": "uvx", "args": ["linkedin-api-mcp"] } } }
If you'd rather not rely on the keyring in a given client (a sandboxed environment, or CI), pass the cookie directly instead of running auth:
{
"mcpServers": { "linkedin": { "command": "uvx", "args": ["linkedin-api-mcp"], "env": { "LINKEDIN_COOKIE": "your-li_at-value" } } } }
Anywhere you do this, treat that config file with the same care as the cookie itself: don't commit it, and restrict its permissions.
LinkedIn doesn't offer an API key for this kind of access, so the server uses the same session cookie your browser already holds.
uvx --from linkedin-api-mcp patchright install chromium
F12 or Cmd+Opt+I) → Application → Cookies → https://www.linkedin.com.li_at and copy its Value.[!WARNING]
**This cookie *is* your LinkedIn login.** Anyone who has it can act as you:
read your messages, message your connections, see everything your account can
see, without needing your password. It survives a password change, and it
cannot be revoked from any session list LinkedIn shows you. Never paste it
into a chat, a commit, an issue, a screenshot, or anywhere other than
linkedin-api-mcp auth.
uvx linkedin-api-mcp auth
Paste the value in when prompted; the terminal will not echo it back. By default it's stored in your OS keyring (Keychain, Windows Credential Manager, or Secret Service on Linux), never written to a config file.
uvx linkedin-api-mcp --test
Prints the server's redacted configuration and confirms the session is live. It never prints the cookie itself.
| Tool | Description |
|---|---|
get_profile | Fetch a member's profile (headline, about, experience, education, skills) by URL or public identifier. |
get_my_profile | Fetch the profile of the account this server is logged in as. |
search_people | Search LinkedIn members by keyword. |
get_inbox | List recent message thread previews. |
get_conversation | Fetch the full message history of one thread, by id. |
search_conversations | Search your message threads by participant or keyword. |
send_message ✏️ | Write. Sends a real message to another member from your account. |
connect ✏️ | Write. Sends a real connection invitation to another member from your account. |
get_company | Fetch a company page (about, size, industry, recent posts). |
search_companies | Search LinkedIn companies by keyword. |
search_jobs | Search job postings by keyword and optional location. |
get_job | Fetch one job posting in full. |
search_posts | Search LinkedIn feed posts by keyword. |
linkedin_status | Check session validity and current usage against the rate limits in Safety. |
14 tools: 12 read, 2 write. send_message and connect are the only two that change anything, and both are visible to another real person the moment they run: there is no draft, preview, or undo step. Everything else only reads what your account can already see. Covered by 68 tests.
This is a days-old project. Rather than claim everything works, here's what's actually been checked against a live account, and what hasn't.
| Status | Tool / behaviour | Note |
|---|---|---|
| Verified live | get_my_profile, get_profile, search_people, get_company, search_companies, search_jobs, search_posts, get_inbox | Called against a real account and returned real data. |
| Verified live | send_message ✏️ | A real message was sent, then the thread was read back to confirm it arrived. |
| Not yet verified | connect ✏️, get_conversation, search_conversations, get_job, linkedin_status | Implemented and tested, but not yet exercised against a live account by hand. |
| Known gap | conversation_id from get_inbox | Comes back null. LinkedIn binds inbox rows to in-memory JS objects rather than URLs, so there's no id to read out of the page. |
| Known gap | Reaction and comment counts on search_posts | Come back null. |
| Known gap | experience and education on get_profile | LinkedIn loads these sections only on scroll; they currently come back empty. |
linkedin_status, passes through the same queue before it touches the browser: one action at a time, never in parallel.| Setting | Default | Env var | Effect |
|---|---|---|---|
| Minimum interval between actions | 2 seconds | LINKEDIN_MIN_INTERVAL | Calls are paced against the previous one, not run back-to-back. |
| Actions per rolling hour | 120 | LINKEDIN_MAX_PER_HOUR | Once hit, further calls fail immediately with a rate_limited error rather than queueing or sleeping. |
The ceiling is local to this server: it exists to stop a looping agent from generating a burst of LinkedIn traffic, not because LinkedIn told us these numbers. Lowering them is always safe; raising them is you deciding you're willing to accept more risk than the defaults assume.
Solo se muestra el principio; lee el resto en el repo