🔌 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
