一个模型上下文协议（MCP）服务器，自动生成 YouTube 视频中的专业 LinkedIn 帖子草稿。该工具通过提取 YouTube 视频的文字稿、内容摘要，生成符合您偏好的引人入胜的 LinkedIn 帖子，简化内容再利用。

目录

• 特色
• 安装
• 地方发展
• 与 Claude Desktop 结合使用
• 配置
• 使用情况
• 可用工具
• 工作流程示例
• 部署
• 许可证

特色

• YouTube 文字稿提取：自动从任何 YouTube 视频中提取文字稿
• 内容摘要：生成简明扼要的摘要，语气和目标受众可定制
• LinkedIn 帖子生成：创建具有可定制风格和语气的专业 LinkedIn 帖子
• 一站式工作流程：一次操作即可从YouTube链接切换到LinkedIn帖子
• 定制选项：调整语气、受众、字数等以匹配你的个人品牌
• MCP 集成：与支持 Model Context 协议的 AI 助手无缝协作

安装

地方发展

1. 克隆仓库：

2. 安装依赖：

3. 创建一个“。

LinkedIn Post Generator

A Model Context Protocol (MCP) server that automates generating professional LinkedIn post drafts from YouTube videos. This tool streamlines content repurposing by extracting transcripts from YouTube videos, summarizing the content, and generating engaging LinkedIn posts tailored to your preferences.

Table of Contents

• Features
• Installation
  • Local Development
  • Using with Claude Desktop
• Configuration
• Usage
  • Available Tools
  • Workflow Example
• Deployment
• License

Features

• YouTube Transcript Extraction: Automatically extract transcripts from any YouTube video
• Content Summarization: Generate concise summaries with customizable tone and target audience
• LinkedIn Post Generation: Create professional LinkedIn posts with customizable style and tone
• All-in-One Workflow: Go from YouTube URL to LinkedIn post in a single operation
• Customization Options: Adjust tone, audience, word count, and more to match your personal brand
• MCP Integration: Works seamlessly with AI assistants that support the Model Context Protocol

Installation

Local Development

1. Clone the repository:

   git clone https://github.com/NvkAnirudh/LinkedIn-Post-Generator.git
   cd LinkedIn-Post-Generator
   

2. Install dependencies:

   npm install
   

3. Create a .env file based on the example:

   cp .env.example .env
   

4. Add your API keys to the .env file:

   OPENAI_API_KEY=your_openai_api_key
   YOUTUBE_API_KEY=your_youtube_api_key
   

5. Run the server:

   npm run dev
   

6. Test with MCP Inspector:

   npm run inspect
   

Using with Claude Desktop

This MCP server is designed to work with Claude Desktop and other AI assistants that support the Model Context Protocol. To use it with Claude Desktop:

1. Configure Claude Desktop by editing the configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

   {
     "mcpServers": {
       "linkedin-post-generator": {
         "command": "npx",
         "args": [