Design system MCP server for creating LinkedIn posts with shadcn-inspired components, variants, and themes
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# LinkedIn MCP Server <div align="center"> **Design system MCP server for creating high-performing LinkedIn content** [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) [](https://modelcontextprotocol.io) [Features](#features) • [Quick Start](#quick-start) • [Installation](#installation) • [Documentation](#documentation) • [Examples](#examples) </div> --- ## Overview A professional Model Context Protocol (MCP) server for LinkedIn content creation, featuring a shadcn-inspired component system, 10 performance-tuned themes, and data-driven optimization based on 1M+ post analysis. Built on [**ChukMCPServer**](https://github.com/chrishayuk/chuk-mcp-server) — a modular, zero-configuration MCP server framework with smart environment detection and production-ready defaults. **What it does:** - ✅ Compose posts with theme-based components and variants - ✅ Upload documents (PDF/PPTX/DOCX) via LinkedIn API - ✅ Preview posts with session-isolated artifact storage - ✅ Publish and schedule posts to LinkedIn - ✅ Optimize content using 2025 performance data - ✅ Generate secure, time-limited preview URLs **What it doesn't do:** - ❌ Create PowerPoint/PDF files (use [`chuk-mcp-pptx`](https://github.com/chrishayuk/chuk-mcp-pptx) for that) ### 🔒 Privacy & Security **Token Security:** - Tokens never logged in plaintext (8-char prefix at DEBUG level only) - All sensitive data (tokens, codes, user IDs) redacted in logs - OAuth access tokens: Short-lived (default 15 minutes) to reduce replay risk - OAuth refresh tokens: Daily rotation for maximum security - LinkedIn-issued tokens: Stored server-side, refreshed automatically - No tokens persisted t…
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