MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
LinkedIn jobs, companies and people for AI agents, plus messages and invites via your own account.
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。
LINKFETCH_API_KEY, Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"linkedin": {
"command": "npx",
"args": [
"-y",
"linkfetch-mcp"
],
"env": {
"LINKFETCH_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http linkedin https://linkfetch.io/mcp --header 'Authorization: Bearer {api_key}'claude mcp add linkedin --env LINKFETCH_API_KEY=your-value -- npx -y linkfetch-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": {
"url": "https://linkfetch.io/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"linkedin": {
"command": "npx",
"args": [
"-y",
"linkfetch-mcp"
],
"env": {
"LINKFETCH_API_KEY": "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": {
"type": "http",
"url": "https://linkfetch.io/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"linkedin": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"linkfetch-mcp"
],
"env": {
"LINKFETCH_API_KEY": "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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
发布者(linkfetch.io)不是仓库所有者(ffucucuoglu);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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
你需要填写:LINKFETCH_API_KEY, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(2.0.1)于28天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
linkfetch-mcp gives any AI agent a full set of LinkedIn tools: search every public LinkedIn job since April 2026, look up companies, score and sort them with AI functions, and, through a LinkedIn account you connect, search people and posts, read profiles and your inbox, and send messages and connection requests.
It is a small stdio bridge to LinkFetch's hosted MCP server: every tool call goes to https://linkfetch.io/mcp with your API key, so the tools and prices are always current and nothing runs a browser on your machine. If your client supports remote MCP over HTTP, you can skip this package and use the URL directly.
Full tool list with prices, and setup for each client: linkfetch.io/mcp/claude
search_jobs, get_job, search_companies, get_companyai_score, ai_classify, ai_extract, ai_write, each over up to 25 jobs or companieslist_leads, save_lead, list_lead_listsEach call costs a flat number of credits, stated in the tool's description. Every connected account works inside daily and weekly limits that LinkFetch enforces whatever the agent asks for.
Create an API key (lf_…) on the MCP page of your LinkFetch dashboard. New accounts start with free credits. Then add the server to your client: every client runs npx -y linkfetch-mcp with LINKFETCH_API_KEY set. Node.js 18+ is required.
Upgrading from 0.1.x? Keys starting with
sk_live_stopped working when LinkFetch 2 launched in October 2026. Create a newlf_…key and replace it in your config.
Settings → Developer → Edit Config, or edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }
Fully quit and reopen Claude.
claude mcp add linkfetch -e LINKFETCH_API_KEY=lf_... -- npx -y linkfetch-mcp
These use the same mcpServers block as Claude Desktop above. Put it in:
| Client | Config file |
|---|---|
| Cursor | ~/.cursor/mcp.json (global) or .cursor/mcp.json (project) |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Gemini CLI | ~/.gemini/settings.json |
| Cline | MCP Servers → Configure → cline_mcp_settings.json |
.vscode/mcp.json:
{
"servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }
~/.codex/config.toml:
[mcp_servers.linkfetch]
command = "npx" args = ["-y", "linkfetch-mcp"] env = { LINKFETCH_API_KEY = "lf_..." }
settings.json:
{
"context_servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }
Any MCP client library can spawn the server over stdio. OpenAI Agents SDK (Python):
from agents import Agent, Runner
from agents.mcp import MCPServerStdio
async with MCPServerStdio(params={ "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": {"LINKFETCH_API_KEY": "lf_..."}, }) as linkfetch: agent = Agent(name="LinkedIn researcher", mcp_servers=[linkfetch]) result = await Runner.run(agent, "Which companies in Berlin started hiring data engineers this week?")
LangChain users can load the same server with langchain-mcp-adapters.
Clients that support remote MCP over Streamable HTTP can connect to the hosted server directly:
https://linkfetch.io/mcpAuthorization: Bearer lf_...Claude (desktop or claude.ai): Settings → Connectors → Add custom connector, with https://linkfetch.io/mcp?key=lf_... as the URL.
Claude Code: claude mcp add --transport http linkfetch https://linkfetch.io/mcp --header "Authorization: Bearer lf_..."
| Variable | Required | Default | |
|---|---|---|---|
LINKFETCH_API_KEY | yes | Your lf_… key | |
LINKFETCH_MCP_URL | no | https://linkfetch.io/mcp | Point at another LinkFetch MCP endpoint |
A missing, old or rejected key comes back as an error on every request, with what to do about it, so the agent can tell you. Tool errors (no credits left, no LinkedIn account connected, a limit reached) come from the hosted server as normal tool results.
npm install
npm run build LINKFETCH_API_KEY=lf_... node dist/index.js
src/index.ts is the whole server: it opens one MCP client connection to the hosted server and forwards tools/list and tools/call to it.
MIT