"linkedin" matching MCP servers:

LinkedIn MCP Assistant

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.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.

Enables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.

Enables MCP clients to publish, edit, delete, comment on, and reshare posts; upload images, videos, and documents; and access optional reaction, engagement, and company-Page tools when authorized.

Enables AI agents to manage LinkedIn content through Taplio, including drafting, scheduling, publishing posts, and analytics.

Automates posting articles to Dev.to and sharing posts on LinkedIn via command-line, cron jobs, or Copilot sessions.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

Enables AI agents to draft, format, and manage LinkedIn posts through a review pipeline, with human approval via a web UI before publication.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Cross-publishes a single markdown draft to 5 CMS platforms (dev.to, Hashnode, Ghost, WordPress, Medium) and 4 social networks (Bluesky, Mastodon, LinkedIn, X) from any MCP client, with built-in SEO scoring, schema.org JSON-LD, and canonical URL handling so cross-posts compound search rankings instead of competing.

AI content generation, repurposing, and multi-platform publishing for 9+ social media platforms. Generate blog posts, discover trending topics, brainstorm titles, and publish to Twitter, LinkedIn, Bluesky, and more.

Enables AI assistants to manage scheduled social media posts and content automation across multiple platforms (X/Twitter, Reddit, LinkedIn, Instagram, TikTok, YouTube). Supports organizing campaigns into tracks, scheduling posts with natural language, and automating content workflows with local SQLite storage.

Connects to multiple social media platforms (Twitter/X, Mastodon, LinkedIn), allowing users to create and publish content across platforms through natural language instructions.

A Model Context Protocol server that enables LLMs like Claude and Cursor to manage social media accounts and create posts across multiple platforms (including Facebook, Instagram, Twitter, LinkedIn, TikTok) through Simplified's API.

Provides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.

Enables AI agents to turn a single Markdown document into platform-ready output — WeChat Official Account inline-styled rich text, Zhihu HTML, Xiaohongshu 1080×1440 card sets with covers, split X/Threads/Bluesky/LinkedIn threads, long images, and rendered covers. Also supports AI-assisted captions and creating WeChat draft posts via the official API, plus listing available themes and styles.