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LinkedIn连接器

一种模型上下文协议服务器,通过自然语言命令实现与LinkedIn的无缝交互,用于求职申请、资料检索、动态浏览和简历分析。

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README

MCP Server for LinkedIn

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A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.

This uses Unoffical Linkedin API Docs for hitting at the clients Credentials.

Features

  1. Profile Retrieval

    Fetch user profiles using get_profile() function Extract key information such as name, headline, and current position

  2. Job Search

  • Advanced job search functionality with multiple parameters:
    • Keywords
    • Location
    • Experience level
    • Job type (Full-time, Contract, Part-time)
    • Remote work options
    • Date posted
    • Required skills
  • Customizable search limit
  1. Feed Posts
  • Retrieve LinkedIn feed posts using get_feed_posts()
  • Configurable limit and offset for pagination
  1. Resume Analysis
  • Parse and extract information from resumes (PDF format)
  • Extracted data includes:
    • Name
    • Email
    • Phone number
    • Skills
    • Work experience
    • Education
    • Languages

Configuration

After cloning the repo, adjust the <LOCAL_PATH> accordingly

{
    "linkedin":{
        "command":"uv",
        "args": [
            "--directory",
            "<LOCAL_PATH>",
            "run",
            "linkedin.py"
        ]
    }   
}     


Usage

I have been testing using MCP-client and found as the best one for testing your MCP-Servers.

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运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端