MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者による説明(英語の原文)
LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
LINKEDIN_TOOLKIT_HOME必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add linkedin-toolkit --env LINKEDIN_TOOLKIT_HOME=your-value -- npx -y linkedin-toolkit-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"linkedin-toolkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
LINKEDIN_TOOLKIT_HOME envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
公開者(FormatixAI)がリポジトリの所有者(OpenRecruiterTools)ではありません。別の人が登録した可能性があります
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち0項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.1.0)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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 冒頭だけを表示しています。続きはリポジトリで読めます