"A method for finding people on LinkedIn and organizing them in a CSV" matching MCP servers:

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

A local MCP server that lets Claude log in to LinkedIn and publish image posts to your personal profile feed, backed by LinkedIn's REST Images API and Posts API.

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.

Controls the user's LinkedIn account through a logged-in browser session, enabling post publishing, profile viewing and editing, job searching, and Easy Apply submissions from chat.

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.

Enables publishing explicitly approved text posts to LinkedIn and checking connection status via a stateless MCP connector.

Enables LLMs to manage LinkedIn posts and view analytics through a set of MCP tools, including creating, reading, and deleting posts, checking authentication, and retrieving profile info.

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

LinkedIn from the user's own logged-in Chrome session for AI agents: search, profiles, post engagers, company employees, lists, sequences, inbox and a Research Pack, with hard caps and a human approval queue. Local-first, no headless browser.

Enables agents to publish posts to your own LinkedIn feed, with a linter that blocks machine-written tells like em-dashes.

MCP server for LinkedIn automation that enables AI agents to perform LinkedIn actions (search, inbox, feed, jobs, etc.) safely with human-like evasion and two-phase commit preview.

MCP server that enables LinkedIn content generation through Claude, offering brand setup, playbooks, on-brand PDF/PNG rendering, and post tracking with per-client tokens.

Enables publishing to LinkedIn from a Second Brain using four tools and the official API, with a handbrake that requires confirmation before posting and supports deleting posts.

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

MCP server for LinkedIn that lets Claude and ChatGPT read your profile, post updates, and generate a resume PDF pre-formatted for LinkedIn's Import Resume feature.

Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.

Enables Claude Code users to safely edit their own LinkedIn profile by drafting proposed changes as diffs and requiring explicit human approval before the single write tool applies them.

MCP server for safe LinkedIn automation: official-API posting, comments, and likes plus guest-endpoint job search and a local application tracker.

Enables viewing your own LinkedIn account data—such as profile views, applications, saved jobs, job listings, and notifications—as structured tool results, with optional gated write actions for saving or unsaving jobs and unfollowing companies.