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
基本情報
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
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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