"How to find posts by a LinkedIn user" matching MCP servers:

Enables AI agents to discover and fetch LinkedIn posts with engagement metrics (reactions, comments, shares) and author details, returning structured JSON per post.

Provides tools for automating LinkedIn job post search and management. 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.

MCP server that enables AI assistants to search LinkedIn for job posts, save them locally, and manage them via a React dashboard.

Enables AI assistants to search LinkedIn jobs and read LinkedIn profiles read-only using a real Chrome session via CDP, with tools for job listings, full job details, profile data, and session management.

Enables MCP-compatible clients to read LinkedIn profiles, companies, and jobs, and to send connection requests after explicit confirmation, using interactive browser-based authentication instead of stored credentials.

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

Dynamic tools to automate tasks on LinkedIn website.

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

Enables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.

MCP server that lets you analyze your own LinkedIn profile with a local LLM (LM Studio). It uses Playwright to reuse your browser session, fetch profile data as JSON, and provides tools for session management and profile analysis.

Enables fetching detailed LinkedIn profile data by automating a browser session with your LinkedIn cookie to access full profiles.

Searches LinkedIn for job posts, filters out non-vacancies and out-of-market roles, and provides a local dashboard to triage and rate the remaining openings.

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

A remote MCP server for job scraping that enables searching LinkedIn and Indeed for job listings using Apify.

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.

Automates LinkedIn recruiting tasks such as login, search with filters, paginated people search, and profile detail retrieval via Playwright.

A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API. You can do "search for 3 data engineer jobs in . For each job check if it a good match for me by analyzing it against my resume in file resume.md."

Enables capturing recent posts from LinkedIn profiles and company pages, including real reaction and comment counts and publicly visible commenters, without requiring a LinkedIn account, cookies, or credentials.

Enables users to search LinkedIn's public job listings with advanced filters like location, salary, and experience level. It allows MCP-compatible clients to retrieve real-time job opportunities without requiring LinkedIn authentication or API keys.

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.