Which integrations are available for this server?

Provides database support for storing post schedules and content, serving as a backend for the LinkedIn post automation system. Provides the runtime environment for the MCP server, supporting the LinkedIn post automation functionality through its ecosystem. Offers database functionality for storing post schedules and content as an alternative to PostgreSQL, enabling local data persistence for the LinkedIn automation service.

How do I use LinkedIn Automated Post Creator?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@LinkedIn Automated Post Creator schedule a post for tomorrow at 9am about our new product launch" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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:

MCP Server: Handles message control and scheduling
LinkedIn API Integration: Manages LinkedIn authentication and post creation
Scheduler: Manages post scheduling and timing
Content Generator: Generates or manages post content
Database: Stores post schedules and content

Related MCP server: YouTube to LinkedIn MCP Server

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