
linkedin automation posts
Linkedin post automation through MCP server
Repository Info
About This Server
Linkedin post automation through MCP server
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
LinkedIn Content Strategist MCP Server
This project is a Model Context Protocol (MCP) server designed to assist with LinkedIn content strategy. It provides tools to analyze LinkedIn content history and generate viral hooks and content ideas.
Features
- Analyze Content History: Identify patterns and engagement hooks from LinkedIn content history.
- Generate Viral Hooks: Create viral hooks and content ideas based on a given topic.
Installation
-
Clone the repository:
git clone <repository-url> cd linkedin-automation-posts -
Install dependencies:
npm install -
Create a
.envfile in the root directory and add your LinkedIn access token:LINKEDIN_ACCESS_TOKEN=your_access_token_here
Usage
-
Build the project:
npm run build -
Start the MCP server:
node build/index.js -
Use the provided tools via the MCP protocol to analyze LinkedIn content and generate ideas.
Tools
Analyze Content History
- Description: Analyze LinkedIn content history to identify patterns and engagement hooks.
- Input: LinkedIn user ID.
Generate Viral Hooks
- Description: Generate viral hooks and content ideas for LinkedIn.
- Input: Topic for generating content ideas.
Dependencies
@modelcontextprotocol/sdkdotenvzodaxios
License
This project is licensed under the MIT License.
Quick Start
Clone the repository
git clone https://github.com/himanshuteotia/linkedin-automation-postsInstall dependencies
cd linkedin-automation-posts
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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