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

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.

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.

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.

Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.

MCP server for Majico.xyz that enables coding agents to read (and limited write) brand guidelines, design tokens, studio canvas, and export manifests.

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

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.

An MCP App that enables AI agents to ask users multiple questions with tab-based navigation, multiple-choice options, multi-select support, and custom text input, all rendered inline in the conversation.

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

Enables AI agents to interact with LinkedIn through MCP tools for retrieving company profiles, posts, insights, and person profiles, as well as a prompt for account research.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

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.

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.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.