"Finding LinkedIn users by educational background" matching MCP servers:

LinkedIn MCP Assistant

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.

Enables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.

Enables AI agents to manage LinkedIn content through Taplio, including drafting, scheduling, publishing posts, and analytics.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

Enables AI agents to draft, format, and manage LinkedIn posts through a review pipeline, with human approval via a web UI before publication.

Automates posting articles to Dev.to and sharing posts on LinkedIn via command-line, cron jobs, or Copilot sessions.

Transforms documentation repositories into interactive educational content and provides standardized access to AI-generated structured courses through MCP protocol. Generates multi-complexity learning paths from docs and enables AI tutoring applications to interact with course content.

A unified Model Context Protocol server that consolidates global educational platforms, enabling AI agents to seamlessly integrate with Canvas LMS, K-12 standards, assessment tools, and educational data analytics.

This read-only MCP Server allows you to connect to Confluence data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Full-stack AI marketing toolkit with 41 MCP tools: SEO article generation in 55 languages, trend scouting (X/Reddit), competitor analysis, content gap detection, social media adaptations for 9 platforms, AI avatar video shorts, content ingestion (YouTube/PDF/web), lead magnets, and automated content autopilot.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Enables AI to interview users about their business and generate bilingual one-page websites for small businesses.

AI-powered WordPress management that enables creating and editing posts, pages, media, plugins, themes, and Gutenberg blocks through natural language with safe-by-default writes and full rollback support.

Enables AI agents to discover WordPress plugin opportunities by querying the WordPress.org directory for abandoned, low-rated, or unsupported plugins that can be replaced or out-built.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Enables AI assistants to draft wedding invitation websites by creating unpaid drafts, listing templates, and retrieving pricing information.