LinkedIn Automated Post Creator

This project automates the creation of LinkedIn posts using MCP server integration. It allows users to schedule and create posts automatically on their LinkedIn account.

Architecture

The project follows a modular architecture with the following components:

1. MCP Server: Handles message control and scheduling

2. LinkedIn API Integration: Manages LinkedIn authentication and post creation

3. Scheduler: Manages post scheduling and timing

4. Content Generator: Generates or manages post content

5. Database: Stores post schedules and content

Related MCP server: @isteam/linkedin-mcp

Project Structure

linkedin_automation/
├── config/
│   └── config.py
├── src/
│   ├── mcp_server/
│   │   ├── __init__.py
│   │   └── server.py
│   ├── linkedin/
│   │   ├── __init__.py
│   │   └── api.py
│   ├── scheduler/
│   │   ├── __init__.py
│   │   └── scheduler.py
│   └── database/
│       ├── __init__.py
│       └── db.py
├── requirements.txt
└── main.py

Setup Instructions

1. Install dependencies:

uv add -r requirements.txt

2. Configure LinkedIn API credentials in config/config.py

3. Run the MCP server:

python main.py

Features

• Automated LinkedIn post creation

• Customizable post scheduling

• Content management

• MCP server integration

• Real-time post monitoring

Requirements

• Python 3.8+

• LinkedIn API credentials

• MCP server access

• Database (SQLite/PostgreSQL)

Deployment

The project can be deployed on any server with Python support. Follow the deployment guide in docs/deployment.md for detailed instructions.