"linkedin" matching MCP servers:

Enables users to drive their own logged-in LinkedIn session through browser automation, with a mandatory preview-and-confirm step before any action is sent.

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.

MCP server that enables LinkedIn profile scraping and search using Selenium-based scraper with support for multiple LinkedIn accounts.

Dynamic tools to automate tasks on LinkedIn website.

Enables AI assistants to search LinkedIn job, internship and work-study listings and to turn Job IDs or LinkedIn URLs into complete offer details such as title, company, location, contract type, applicant count, direct apply link and full description, all without a LinkedIn account or API key.

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.

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

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.

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

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 discovering public LinkedIn profiles via natural-language criteria, using DuckDuckGo search snippets to return a ranked shortlist with match reasoning, without logging into LinkedIn.

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.

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

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 exporting LinkedIn job-post applicants, including lists, application details, resumes, and full profiles, through your own logged-in Chrome. It operates with human-like pacing and safety limits, storing everything locally for instant querying, browsing, or CSV/JSON export.

An MCP server that lets AI assistants read LinkedIn data through the user's logged-in browser session, providing tools for profiles, companies, job searches, messaging, and feeds.

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

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

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