MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
Read LinkedIn profiles, companies, jobs and messages via your own browser session
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
LINKEDIN_COOKIE, LINKEDIN_HEADLESS, LINKEDIN_MIN_INTERVAL, LINKEDIN_MAX_PER_HOURAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
LINKEDIN_HEADLESS envLINKEDIN_MIN_INTERVAL envLINKEDIN_MAX_PER_HOUR envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto JohannsenLum bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: LINKEDIN_COOKIE
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.1) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
Nur der Anfang wird gezeigt; den Rest findest du im Repo