MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
LINKEDIN_TOOLKIT_HOME你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add linkedin-toolkit --env LINKEDIN_TOOLKIT_HOME=your-value -- npx -y linkedin-toolkit-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"linkedin-toolkit": {
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"linkedin-toolkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linkedin-toolkit-mcp"
],
"env": {
"LINKEDIN_TOOLKIT_HOME": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
LINKEDIN_TOOLKIT_HOME env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
发布者(FormatixAI)不是仓库所有者(OpenRecruiterTools);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.1.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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 只显示了开头部分;其余内容请在仓库中阅读