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

Enables AI assistants to access educational domain tools including grading, cognitive diagnosis, knowledge tracing, learning path recommendations, and sentiment analysis through FastAPI-powered small models.

An MCP server that enables coding agents to execute and manage long-running shell commands asynchronously with capabilities for process monitoring, interaction, and lifecycle management.

Enables AI assistants to publish text, link, and image posts to a personal LinkedIn profile, as well as comment, react, and delete posts, through the official LinkedIn API.

Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.

An unofficial Model Context Protocol server enabling AI assistants to access LinkedIn profile data, network connections, search people and jobs, and send messages via OAuth 2.1.

Dynamic tools to automate tasks on LinkedIn website.

MCP server for LinkedIn, enabling posting, liking, commenting, and profile retrieval via official OAuth 2.0. Features CLI, HTTP admin, and optional Telegram bot.

Enables sending LinkedIn messages and invitations, reading conversations, and managing outreach through natural language by automating a real LinkedIn session via a Chrome extension.

An MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

Local-first MCP server using LinkedIn's official OAuth and REST APIs to connect a member account, read profile, and publish text posts.

Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.

Released 3.0.0: 22 MCP tools, guided offline setup, local stdio, Chrome and manual login. No hosted deployment or job-research brief. Writes need opt-in, reviewed preview and human approval. Unofficial; provider compatibility, first-use cohorts, coordinated erasure and Windows privacy proof remain unverified. No mandatory paid service.

Lets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.

Enables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.

LinkedIn Ads MCP server with full read/write campaign management, Ad Library competitive search, and Cloud Run team deployment.

Enables read-only extraction of LinkedIn profile data via MCP tools, using a local browser bridge for secure, authenticated access without exposing browser credentials.

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.

Enables interaction with LinkedIn's Community Management API, allowing users to retrieve profile information and create posts via natural language.

MCP server that lets you publish text and image posts to LinkedIn, fetch your profile, and check auth status using natural language.