#linkedin

Access and analyze your LinkedIn Ads data. Built for marketers, founders, and growth teams who want to leverage AI for campaign optimization, performance reporting, and data-driven advertising decisions. Created By Daniel Popa - Performance Marketing Consultant & AI Automation Specialist

Enrich contacts and companies via email/LinkedIn enrichment and email validation through LeadFuze (API key required).

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.

IssueBadge is a free online platform to create, issue, and share digital certificates and badges effortlessly. Perfect for schools, universities, nonprofits, businesses, and event organizers, you can bulk-generate certificates, add QR codes, and verify credentials instantly. Celebrate achievements with verifiable digital badges, boost recognition, and allow recipients to share certificates on LinkedIn, email, or websites. No design skills required. Start issuing today at https://issuebadge.com .

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.

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! 🤫

An MCP (Model Context Protocol) server that generates beautiful code snippet images to post to social media.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta

Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn (beta): https://www.cdata.com/download/download.aspx?sku=CLZK-V&type=beta

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

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.

MCP server to gather usernames from LinkedIn using Serper

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.

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An MCP Server for Linkedin API

Model Context Protocol (MCP) server for LinkedIn API integration