What are the runtime dependencies?
Node.js 18.0.0 or higher, npm or yarn, and a valid LinkedIn account. Puppeteer is used internally for browser control.
@hardiksharmmaaaa
基本信息
This Repo contain the MCP servers I am making initially, Tho most of the MCP servers are present opensource, but its for my practice to code them as per my usecase
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
LinkedIn MCP Server is a Model Context Protocol (MCP) server that provides three automation tools for LinkedIn: job searching, networking through auto-connect and outreach, and contact scraping into Excel. It uses Puppeteer to control a browser and requires manual LinkedIn login. It is intended for users who want to automate LinkedIn tasks via an MCP client.
Install Node.js 18.0.0 or higher, clone the repository, run npm install, optionally copy config.example.env to .env, then start the server with npm start. The server exposes three tools: find_job_openings, auto_connect_and_outreach, and scrape_contacts_to_excel. Each tool is invoked by an MCP client with the required JSON arguments (e.g., skills, target roles, profile URLs).
Node.js 18.0.0 or higher, npm or yarn, and a valid LinkedIn account. Puppeteer is used internally for browser control.
No. The server requires manual login; no passwords are stored.
Contact information (email/phone) is often hidden by LinkedIn’s privacy settings. LinkedIn enforces strict rate limits, and website structure changes may require code updates.
Authentication is handled via manual browser login during the initial run. The session persists until the server is restarted. No credentials are transmitted through the MCP protocol.
The README states the tool is for educational and personal use only. Users must respect LinkedIn’s rate limits, terms of service, and use it responsibly to avoid account restrictions.
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