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.
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
Project Structure
Setup Instructions
Install dependencies:
Configure LinkedIn API credentials in config/config.py
Run the MCP server:
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.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Automates the creation and scheduling of LinkedIn posts using MCP server integration, allowing users to manage content and automatically publish to their LinkedIn accounts.
Related MCP Servers
- -securityFlicense-qualityA FastMCP-based server that enables programmatic LinkedIn automation and data extraction through browser automation, offering secure authentication and tools for profile operations and post interactions while respecting LinkedIn's rate limits.Last updated -43
- -securityAlicense-qualityA Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.Last updated -1MIT License
- AsecurityAlicenseAqualityA Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.Last updated -617MIT License
- AsecurityFlicenseAqualityMCP server that fetches LinkedIn profile information using the Fresh LinkedIn Profile Data API, allowing users to retrieve profile data in JSON format by providing a LinkedIn profile URL.Last updated -1