AI Agent (batabeto) ──MCP/HTTP──► LinkedIn MCP Server ──REST──► LinkedIn API
                                         │
                                   OAuth2 + Token Store
                                         │
                                    Dashboard UI

git clone <your-repo> linkedin-mcp
cd linkedin-mcp
npm install

cp .env.example .env
nano .env

LINKEDIN_CLIENT_ID=your_client_id
LINKEDIN_CLIENT_SECRET=your_client_secret
BASE_URL=http://YOUR_EC2_IP:3000
PORT=3000
MCP_SECRET_KEY=$(openssl rand -hex 32)

# Production
npm start

# Development (auto-restart)
npm run dev

# As a systemd service (recommended for EC2)
sudo nano /etc/systemd/system/linkedin-mcp.service

[Unit]
Description=LinkedIn MCP Server
After=network.target

[Service]
Type=simple
User=ubuntu
WorkingDirectory=/home/ubuntu/linkedin-mcp
ExecStart=/usr/bin/node server.js
Restart=always
RestartSec=5
EnvironmentFile=/home/ubuntu/linkedin-mcp/.env

[Install]
WantedBy=multi-user.target

sudo systemctl enable linkedin-mcp
sudo systemctl start linkedin-mcp
sudo systemctl status linkedin-mcp

{
  "mcpServers": {
    "linkedin": {
      "url": "http://YOUR_EC2_IP:3000/mcp",
      "transport": "http",
      "headers": {
        "Authorization": "Bearer YOUR_MCP_SECRET_KEY"
      }
    }
  }
}

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["mcp-remote", "http://YOUR_EC2_IP:3000/mcp", "--header", "Authorization: Bearer YOUR_MCP_SECRET_KEY"]
    }
  }
}

"Post on LinkedIn: Excited to share that I just deployed a full Kubernetes cluster
 with ArgoCD GitOps! #DevOps #Kubernetes"

"Get my last 5 LinkedIn posts"

"Delete my LinkedIn post with ID urn:li:ugcPost:1234567890"

"Comment 'Great insight!' on post urn:li:ugcPost:9876543210"

"Check my LinkedIn connection status"

# In AWS Security Group, allow inbound:
# Port 3000, TCP, from your agent's IP (or 0.0.0.0/0 for testing)