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LinkedIn Jobs MCP Server

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LinkedIn Jobs MCP 服务器

自托管的 MCP 服务器，使用您已验证的会话 Cookie 抓取 LinkedIn 职位。在 Docker 中运行。无需 Apify，无单次运行成本。

设置

1. 获取您的 Cookie

  1. 安装 Cookie-Editor Chrome 扩展程序

  2. 登录 LinkedIn（建议使用小号）

  3. 点击 Cookie-Editor → Export (JSON)

  4. 找到并复制两个值：

    • li_at — 您的会话 Cookie

    • JSESSIONID — 用作 CSRF 令牌（值看起来像 ajax:1234...）

2. 配置

cp .env.example .env
# Edit .env and paste your cookie values

3. 构建与测试

# Build the Docker image
docker build -t linkedin-mcp .

# Quick smoke test — should print the MCP server startup log
docker run --rm --env-file .env linkedin-mcp
# Ctrl+C to stop

4. 连接到 Claude Desktop

编辑您的 Claude Desktop 配置文件：

  • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "linkedin-jobs": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "--env-file", "/ABSOLUTE/PATH/TO/linkedin-mcp/.env",
        "linkedin-mcp"
      ]
    }
  }
}

⚠️ 请使用您 .env 文件的绝对路径。~/ 在此处不会自动展开。

5. 重启 Claude Desktop

保存配置后，完全退出并重新打开 Claude Desktop。 您会在聊天栏中看到一个 🔧 工具图标 — 点击它以确认 scrape_jobs、get_job_details、check_cookie 和 update_cookies 已列出。

6. 首次对话

You: Check if my LinkedIn cookie is valid
Claude: [calls check_cookie] ✓ Authenticated as John Doe

You: Scrape 20 AI Engineer or ML Engineer jobs posted in the last 3 days in the US
Claude: [calls scrape_jobs] ...returns full job list with descriptions

Related MCP server: mcp-job-search

Cookie 刷新（每 30–60 天）

当 Cookie 过期时，请从 Cookie-Editor 重新导出并告诉 Claude：

Update my LinkedIn cookies: li_at is "new_value" and jsessionid is "new_value"

Claude 将调用 update_cookies — 无需重启容器。

开发

# Run with live source reloading
docker compose up

# Inspect MCP tools without Claude Desktop
npx @modelcontextprotocol/inspector docker run --rm -i --env-file .env linkedin-mcp

项目结构

linkedin-mcp/
├── src/
│   ├── server.py        # MCP server — tool definitions and handlers
│   ├── scraper.py       # LinkedIn Voyager API calls (httpx)
│   ├── models.py        # Pydantic models for Job data
│   └── __init__.py
├── Dockerfile
├── docker-compose.yml
├── requirements.txt
├── .env.example
└── .gitignore

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