LinkFetch: LinkedIn MCP
概览
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.
PopNx MCP 的三大支柱
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 2 项依据公开信息检查;尚未扫描代码
- 使用情况i起步阶段↓ 66/周 · ★ –
它能帮你做什么
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。
- 连接方式: 电脑或云端
- 传输方式: stdio, Streamable HTTP
- 分类: 营销与社交媒体
- 你需要填写:LINKFETCH_API_KEY, Authorization
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:3 项中通过 2 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 需要你自己填写:
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。
或者在你的电脑上运行
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}'或者在你的电脑上运行
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。
或者自己复制设置
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}"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"linkedin": {
"type": "http",
"url": "https://linkfetch.io/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
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。
需要你填写的值
- Your LinkFetch API key (lf_…), created on the MCP page of the dashboard.
Authorization机密 必填 HTTP headerBearer followed by your LinkFetch API key (lf_…), created on the MCP page of the dashboard.
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。
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
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8日
- ! 注意
作者与仓库一致
发布者(linkfetch.io)不是仓库所有者(ffucucuoglu);可能是其他人代为上架的
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 138 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“营销与社交媒体”中的其他服务器比较i
- 星标数多于此分类中其他 3602 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3602 个服务器的 50% 更新
- 基础检查结果等于或优于此分类中其他 3602 个服务器的 50%
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。
常见问题
LinkFetch: LinkedIn MCP 安全吗?
它在 3 项适用的基础检查中通过了 2 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。
它需要哪些密钥或代码?
你需要填写:LINKFETCH_API_KEY, Authorization
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(2.0.1)于29天前进入注册中心。
哪些应用可以使用它?
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。
有什么可以替代它?
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
作者的 README
打开 README
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。
LinkedIn MCP server for Claude, Cursor and any AI agent
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
Tools
- Jobs and companies (no LinkedIn account needed):
search_jobs,get_job,search_companies,get_company - AI functions:
ai_score,ai_classify,ai_extract,ai_write, each over up to 25 jobs or companies - Your leads:
list_leads,save_lead,list_lead_lists - Through your connected LinkedIn account: people and company search, profiles, employees, posts and reactions, connections, invitations, conversations, messages, comments, reactions, follows
Each 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.
Setup
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.
Claude Desktop
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 Code
claude mcp add linkfetch -e LINKFETCH_API_KEY=lf_... -- npx -y linkfetch-mcp
Cursor, Windsurf, Gemini CLI, Cline
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 |
VS Code (GitHub Copilot agent mode)
.vscode/mcp.json:
{
"servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }
OpenAI Codex CLI
~/.codex/config.toml:
[mcp_servers.linkfetch]
command = "npx" args = ["-y", "linkfetch-mcp"] env = { LINKFETCH_API_KEY = "lf_..." }
Zed
settings.json:
{
"context_servers": { "linkfetch": { "command": "npx", "args": ["-y", "linkfetch-mcp"], "env": { "LINKFETCH_API_KEY": "lf_..." } } } }
Your own agent
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.
No install: remote MCP
Clients that support remote MCP over Streamable HTTP can connect to the hosted server directly:
- URL:
https://linkfetch.io/mcp - Header:
Authorization: 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_..."
Environment variables
| Variable | Required | Default | |
|---|---|---|---|
LINKFETCH_API_KEY | yes | Your lf_… key | |
LINKFETCH_MCP_URL | no | https://linkfetch.io/mcp | Point at another LinkFetch MCP endpoint |
Errors
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.
Development
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.
License
MIT