🔌 linkedin-mcp-server

Enterprise Model Context Protocol (MCP) Server for LinkedIn Developer Profile Optimization, High-Engagement AI Post Generation, and Growth Strategy. Available in TypeScript and Python!

🎯 Features

• 🔍 analyze_linkedin_profile: Scores developer profile (0 to 100), detects missing social proof metrics, and outputs recommended headline/about hooks.

• ✍️ generate_linkedin_post: Generates type-safe technical posts, release announcements, and milestone posts optimized for the LinkedIn algorithm.

• 🐍🟦 Dual Language Engine: Native TypeScript Stdio MCP Server + Async Python FastAPI Server (py/linkedin_mcp.py).

📦 Installation & Setup

1. Build TypeScript Server

git clone https://github.com/isaquefl/linkedin-mcp-server.git
cd linkedin-mcp-server
npm install
npm run build

2. Configure in Claude Desktop / Antigravity IDE

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "linkedin": {
      "command": "node",
      "args": ["/absolute/path/to/linkedin-mcp-server/dist/index.js"],
      "env": {
        "LINKEDIN_PROFILE_URL": "https://linkedin.com/in/isaquefl"
      }
    }
  }
}

3. Run Python FastAPI Server (Optional)

cd py
pip install fastapi uvicorn pydantic
python linkedin_mcp.py

Swagger UI available at: http://localhost:8000/docs

🎮 Roblox & Custom MCP Server Extensions

Looking to connect AI to Roblox or custom platforms? This repository forms part of the MCP Custom Server Framework architecture (Project 7 in the 90-day plan). Stay tuned for roblox-mcp-server integration via OpenCloud API!

📄 License

MIT © Isaque