MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Beschreibung vom Entwickler (englisches Original)
LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
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_TOOLKIT_HOMEDu 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-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add linkedin-toolkit --env LINKEDIN_TOOLKIT_HOME=your-value -- npx -y linkedin-toolkit-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "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-toolkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "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_TOOLKIT_HOME 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 7. Nov. 2026
Der Herausgeber (FormatixAI) ist nicht der Repo-Inhaber (OpenRecruiterTools); vielleicht hat jemand anderes ihn eingetragen
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 0 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.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
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 (2.1.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js 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.
Operator, Browser Use, computer-use models and Playwright bots get challenged or banned on LinkedIn: headless fingerprints, datacenter IPs, machine-speed clicks. LinkedIn Toolkit gives any agent a safe, structured API to your own logged-in Chrome session — through the same internal endpoints the LinkedIn page itself calls, at human pace, under hard caps, with a human approval queue. It is also a free replacement for Waalaxy and PhantomBuster if you never touch an agent at all. No headless browser, no proxies, no cloud session, no telemetry, no subscription.
▶ Try it without installing · Install guide · Full-quality MP4
Recorded against the toolkit's own demo mode (lit serve --http --fake). Every tool call is real; everyone in it is invented.
One command, then three clicks in Chrome.
npx linkedin-toolkit-mcp setup --client claude-code
That downloads the extension for your version, checks it, unpacks it to ~/.linkedin-toolkit/extension, prints the pairing token, waits for the extension to connect, and writes the MCP config block into your client's own config file — keeping every other server in it and backing the file up first. --client takes claude-desktop, claude-code, cursor, windsurf, vscode, n8n or print; add --dry-run to see what it would do without touching anything.
Then the three steps Chrome does not let any installer do for you:
chrome://extensions — type it in the address bar; it does not come up in search.Paste the pairing token into the popup → Settings → Local bridge, and check it took:
lit status
Rather do it by hand, or only want the extension and no agent?
Download linkedin-toolkit-extension-v*.zip from the Releases page, unzip it somewhere permanent (Chrome loads it from that folder on every start), then do the three steps above. Run npx linkedin-toolkit-mcp for the pairing token, and copy the config block for your client out of docs/clients.md.
docs/install.md is the same thing with screenshots, written for somebody who has never loaded an unpacked extension.
Mass unfollow — Preview first, then a small number, then the rest — is in docs/install.md. Read the "Connections are followed too" part before you decide the feature is broken: LinkedIn's Following list does not include your connections, who are followed automatically when you connect, so emptying that list to zero leaves a feed still full of posts. Ticking "Also unfollow my connections" scans your followers list instead, which is the only place that state is visible.
Every client's config file, path and shape: docs/clients.md · one page per ecosystem.
Not using MCP? lit serve --http gives you POST /actions/{action} and a generated GET /openapi.json. Examples in seven languages.
[!IMPORTANT]
Nothing sends without you. Copilot mode is the default: every write an agent makes queues
for your approval in the popup. Hard caps live in the extension — 100 invites, 150 messages, 500
profile visits, 1,000 search results a day — and no agent, CLI flag or config file can raise
them. Read the safety page before you turn Autopilot on.
| Extract | Profiles (full page text + photo), search, Sales Navigator, Recruiter, post likers and commenters, group members, event attendees, company employees, your own connections and followers, message threads. CSV, JSON and SQLite out. |
| Lists and CRM | Named lists, tags, dedupe across lists, a "contacted before" flag on every profile, and intent signals: engaged with a post, changed job in the last 90 days, at a target company. |
| Sequences | Visit, follow, connect with a note, message, InMail, like, comment, wait, and branch on accepted / replied / not accepted after N days. Variables with fallbacks, A/B variants per step, replies stop the sequence. 20 templates. |
| Inbox | Unified threads, unread, reply detection, sentiment tagging, saved replies, snooze. |
| Research Pack | A CSV of names or domains in; a dossier, an enriched CSV and a list out. Below. |
| Agent layer | 39 MCP tools, 4 resources, 3 prompts, a /actions HTTP API with OpenAPI 3.1, Node and Python clients, an n8n node, 6 skills. |
| Safety | Jittered human delays, hourly and daily caps, business hours, 14-day warm-up, account presets, approval queue, 429 backoff, auto-pause on any security check (451 or a checkpoint redirect). |
| Local everything | chrome.storage.local, IndexedDB and a SQLite file on your machine. Read-only SQL over the lot. No server, no account, no telemetry. |
| Ecosystem | How | |
|---|---|---|
| Claude Code, Claude Desktop, Cursor, Windsurf, Zed, Cline, OpenClaw, Codex CLI, Gemini CLI | npx linkedin-toolkit-mcp | MCP over stdio · config per client |
| Remote and hosted agents (Claude API MCP connector, ChatGPT connectors, Cloudflare Agents) | lit serve --http | MCP over Streamable HTTP, token auth · risks |
| OpenAI Agents SDK, Vercel AI SDK, LangChain.js, Mastra | npm i linkedin-toolkit | Typed client + tool definitions · example |
| LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK, Pydantic AI, smolagents | pip install linkedin-toolkit | Python client + @tool wrappers per framework · example |
| n8n, Make, Dify, Flowise | n8n-nodes-linkedin-toolkit + MCP client node | Nodes for search, profile, invite, message, inbox, plus a webhook-fed trigger · workflow |
| Any HTTP agent | lit serve --http | GET /openapi.json — OpenAPI 3.1 for custom GPTs, Dify and code generators |
| Agent Skills standard | skills/ | Six skills that load unchanged in Claude Code, OpenClaw, and any compliant runtime |
Structured errors carry code, message, retryAfter and howToFix, so an agent recovers or explains itself instead of retrying into a wall. There is an llms.txt and an agent quickstart written for an agent to read and self-install.
| Browser agent | LinkedIn Toolkit | |
|---|---|---|
| Session | Headless or remote-controlled browser, cloud profile | Your own Chrome, your own login |
| Fingerprint | Synthetic — patched, and detectable anyway | Your real browser. Nothing to patch |
| IP | Datacenter, or a residential proxy of dubious provenance | Your own connection |
| Detection | Challenged, degraded, then restricted | No fingerprint or IP delta; volume and rhythm are still visible, which is why the caps exist |
| What the agent sees | Screenshots, vision tokens, brittle selectors | Typed JSON per tool |
| Cost to source 100 profiles | Hundreds of screenshots | 3 tool calls |
| Pace | Machine speed | Jittered human delays, business hours, warm-up |
| Limits | None until LinkedIn imposes them | Hard caps no client can raise |
| On a challenge | Retries, and makes it worse | Stops everything, tells the human |
| Human oversight | Whatever you remember to build | Approval queue, on by default |
The long version, with the actual detection mechanisms: Why browser agents fail on LinkedIn.
LinkedIn's web client now serves nearly all of its data through GET /voyager/api/graphql?queryId= .<32-hex hash>&variables=(...), and those hashes change with each web client release (current: 1.13.46474). The old REST Voyager paths that a generation of 2024–2025 extensions hard-coded return 400, 410 or 500 today. That is the mechanism — not a ban wave. This extension calls the same GraphQL queries the page calls, from inside your own tab, and keeps every query ID in one refreshable table with its capture date and client version: docs/voyager-endpoints.md. lit endpoints check reports which are ok, failed or unverified, and lit endpoints doctor names the query id whose hash went stale and the key in the table that holds it, so drift is a maintenance task rather than an architecture change.
Honestly: those IDs will drift, and re-capturing them is the contribution this project most needs. It is a table edit, not a rewrite — open DevTools on LinkedIn, filter the Network tab for voyager/api, and copy the queryId from a request the page makes; the same hashes are also literal strings inside LinkedIn's JS bundles if you would rather grep for them.
| Waalaxy Pro | PhantomBuster Starter | Sales-Mind | LinkedIn Toolkit | |
|---|---|---|---|---|
| Price | ~€70/mo | ~$69/mo | ~$99/mo | £0 |
| Source | Closed | Closed | Closed | MIT, all of it |
| Where the automation runs | Their cloud *(the extension imports only)* | Their cloud | Their cloud | Your own Chrome tab |
| Your session | On their servers | On their servers | On their servers | Never leaves your machine |
| MCP server | ✗ | ✗ | ✗ | ✓ |
| Agent tools / SDKs | ✗ | ✗ | ✗ | ✓ 39 tools, 9 frameworks |
| Local SQL over your data | ✗ | ✗ | ✗ | ✓ |
| Approval queue | ✗ | ✗ | ✗ | ✓ on by default |
| Sequences with branching | ✓ | partial | ✓ | ✓ |
| Post engagers, groups, events | ✓ | ✓ | partial | ✓ |
| Inbox and sentiment | ✓ | ✗ | ✓ | ✓ |
| Team seats, dashboards | ✓ | ✓ | ✓ | ✗ *(needs a server — see roadmap)* |
| Telemetry | ✓ | ✓ | ✓ | ✗ |
Competitor prices are public list prices checked September 2026 and are approximate — they change, vary by currency and billing term, and each vendor's tiers differ. Feature claims are taken from each vendor's public product pages, also checked September 2026, and tiers move. Check their sites before deciding anything. Corrections welcome via PR — if we have a feature wrong, open one and it gets fixed.
Source for the Waalaxy column: its current Chrome extension listing, "Alien Copilot" by Waapi (Montpellier) — v1.1.3, updated August 2026, roughly 2,000 users, 3.0★ from 3 ratings — which describes itself as "your Waalaxy companion, helps you import prospects". On that listing the extension imports prospects into Waalaxy, and the automation runs on Waalaxy's servers using your session. Listing details read September 2026.
Drop in a CSV with any of name, linkedin_url, email, domain, company. Get back a dossier per row, an enriched CSV, and a list — all local.
lit Nur der Anfang wird gezeigt; den Rest findest du im Repo