MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
LINKEDIN_TOOLKIT_HOME필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add linkedin-toolkit --env LINKEDIN_TOOLKIT_HOME=your-value -- npx -y linkedin-toolkit-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"linkedin-toolkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
LINKEDIN_TOOLKIT_HOME env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
게시자(FormatixAI)가 저장소 소유자(OpenRecruiterTools)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 0개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.1.0)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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 앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요