eliasbiondo/linkedin-mcp-server

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本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

eliasbiondo/LinkedIn-mcp-server 是从 https://github.com/eliasbiondo/linkedin-mcp-server. 导入的 MCP 服务器候选人。

概览

eliasbiondo/LinkedIn-mcp-server 是从 https://github.com/eliasbiondo/linkedin-mcp-server. 导入的 MCP 服务器候选人。

概述（AI 翻译）

一个面向 LinkedIn 的模型上下文协议（MCP）服务器。搜索个人、公司和职位，抓取个人资料，并从任何兼容 MCP 的 AI 客户端检索结构化 JSON 数据。

https://github.com/user-attachments/assets/50cd8629-41ee-4261-9538-40dc7d30294e

采用FastMCP、Patchright和简洁的六边形架构构建。

特色

分类	工具
人物	`get_person_profile` ·`search_people`
公司	`get_company_profile` ·`get_company_posts`
工作	`get_job_details` ·`search_jobs`
浏览器	`close_browser`

人物简介部分

get_person_profile 工具支持颗粒切片刮除。只需请求你需要的切片：

主资料（始终包含）——姓名、标题、地点、粉丝、关系、关于、头像
经验 — 名称、公司、日期、持续时间、描述、公司标志
教育 — 学校、学位、日期、简介、校徽
联系方式 — 电子邮件、电话、网站、生日、LinkedIn网址
兴趣——关注的个人、公司和团体
荣誉与奖项 — 头衔、发行人、描述

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

LinkedIn MCP Server

A Model Context Protocol (MCP) server for LinkedIn. Search people, companies, and jobs, scrape profiles, and retrieve structured JSON data from any MCP-compatible AI client.

https://github.com/user-attachments/assets/50cd8629-41ee-4261-9538-40dc7d30294e

Built with FastMCP, Patchright, and a clean hexagonal architecture.

Features

Category	Tools
People	`get_person_profile` · `search_people`
Companies	`get_company_profile` · `get_company_posts`
Jobs	`get_job_details` · `search_jobs`
Browser	`close_browser`

Person Profile Sections

The get_person_profile tool supports granular section scraping. Request only the sections you need:

Main profile (always included) — name, headline, location, followers, connections, about, profile image
Experience — title, company, dates, duration, description, company logo
Education — school, degree, dates, description, school logo
Contact info — email, phone, websites, birthday, LinkedIn URL
Interests — people, companies, and groups followed
Honors and awards — title, issuer, description
Languages — language name and proficiency level
Posts — recent activity with reactions and timestamps
Recommendations — received and given, with author details

Company Profile Sections

About (always included) — overview, website, industry, size, headquarters, specialties, logo
Posts — recent feed posts with engagement metrics
Jobs — current open positions

The search_jobs tool supports the following filters:

Filter	Values
`date_posted`	`past_hour`, `past_24_hours`, `past_week`, `past_month`
`job_type`	`full_time`, `part_time`, `contract`, `temporary`, `internship`, `other`
`experience_level`	`entry`, `associate`, `mid_senior`, `director`, `executive`
`work_type`	`on_site`, `remote`, `hybrid`
`easy_apply`	`true` / `false`
`sort_by`	`date`, `relevance`

Prerequisites

Python 3.12 or later
uv package manager
A LinkedIn account for authentication

Quick Start

1. Clone and install

git clone https://github.com/eliasbiondo/linkedin-mcp-server.git
cd linkedin-mcp-server
uv sync

在 GitHub 查看完整 README

安装

npx @modelcontextprotocol/inspector

新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "linkedin": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/linkedin-mcp-server",
        "run", "linkedin-mcp-server"
      ]
    }
  }
}