#linkedin

Mirror of

An MCP Server for Linkedin API

Mirror of

Scraping web data is a pain. MCP Scrape for AI is easy. The fastest way to let your AI assistant use web data from LinkedIn. For Sales, Market research, and Marketing. With real-time business profile data from MCP Scrape paired with your AI Assistant and favorite no-code tools, you can do more in less time. More datasets on the way! 🤫

This MCP server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is implemented as a model context protocol (MCP) server and exposes a single tool, get_profile, which accepts a LinkedIn profile URL and returns the profile data in JSON format.

MCP server to gather usernames from LinkedIn using Serper

Model Context Protocol (MCP) server for LinkedIn API integration

LiGo MCP is the first Claude + ChatGPT integration designed specifically for LinkedIn creators. It gives your AI assistant access to your actual post history - so it can analyze what’s working, suggest what to write next, rewrite in your tone, and even publish or schedule posts for you. MCP runs through a simple runner setup and supports both Claude’s desktop app and ChatGPT’s Custom GPTs. You can see it live on LiGo’s leaderboard (https://ligo.ertiqah.com/mcp-leaderboard), every post made via MCP appears there, fully attributed. Use this to: - Build a LinkedIn-native content engine - Skip prompt engineering — just talk - Generate smarter, on-brand content - Schedule posts without opening another tab Set it up once. Use it every day.

A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.

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

LinkedIn Posts Hunter MCP is a Model Context Protocol (MCP) server that provides tools for automating LinkedIn job post search and management through your AI assistant (Claude Desktop, Cursor, or other MCP-compatible clients). Why LinkedIn Posts? Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.

A Model Context Protocol (MCP) server for integrating with the Tomba.io API. This server provides comprehensive email discovery, verification, and enrichment capabilities through a standardized MCP interface.

Connect ConnectSafely to AI assistants like Claude Desktop, Cursor, and n8n using the Model Context Protocol. Enable seamless AI-driven LinkedIn automation and smart workflows.