linkedin-automation-posts

linkedin-automation-posts

3.2

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This project is a Model Context Protocol (MCP) server designed to assist with LinkedIn content strategy.

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

  1. Clone the repository:

    git clone <repository-url>
cd linkedin-automation-posts

  2. Install dependencies:

    npm install

  3. Create a .env file in the root directory and add your LinkedIn access token:

    LINKEDIN_ACCESS_TOKEN=your_access_token_here

Usage

  1. Build the project:

    npm run build

  2. Start the MCP server:

    node build/index.js

  3. 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/sdk
  • dotenv
  • zod
  • axios

License

This project is licensed under the MIT License.