返回 MCP 目录
public公开dns本地运行

MCP智能摘要器

MCP人工智能摘要服务器,支持多种内容类型: - 纯文本 - 网页 - PDF文档 - EPUB电子书 - HTML内容

article

README

MCP Content Summarizer Server

A Model Context Protocol (MCP) server that provides intelligent summarization capabilities for various types of content using Google's Gemini 1.5 Pro model. This server can help you generate concise summaries while maintaining key information from different content formats.

MCP Content Summarizer Server

Powered by 3MinTop

The summarization service is powered by 3MinTop, an AI-powered reading tool that helps you understand a chapter's content in just three minutes. 3MinTop transforms complex content into clear summaries, making learning efficient and helping build lasting reading habits.

Features

  • Universal content summarization using Google's Gemini 1.5 Pro model
  • Support for multiple content types:
    • Plain text
    • Web pages
    • PDF documents
    • EPUB books
    • HTML content
  • Customizable summary length
  • Multi-language support
  • Smart context preservation
  • Dynamic greeting resource for testing

Getting Started

  1. Clone this repository

  2. Install dependencies:

    pnpm install
    
  3. Build the project:

    pnpm run build
    
  4. Start the server:

    pnpm start
    

Development

  • Use pnpm run dev to start the TypeScript compiler in watch mode
  • Modify src/index.ts to customize server behavior or add new tools

Usage with Desktop App

To integrate this server with a desktop app, add the following to your app's server configuration:

{
  "mcpServers": {
    "content-summarizer": {
      "command": "node",
      "args": [
        "{ABSOLUTE PATH TO FILE HERE}/dist/index.js"
      ]
    }
  }
}

Available Tools

summarize

Summarizes content from various sources using the following parameters:

  • content (string | object): The input content to summarize. Can be:
    • Text string
    • URL for web pages
    • Base64 encoded PDF
    • EPUB file content
  • type (string): Content type ("text", "url", "pdf", "epub")
  • maxLength (number, optional): Maximum length of the summary in characters (default: 200)
  • language (string, optional): Target language for the summary (default: "en")
  • focus (string, optional): Specific aspect to focus on in the summary
  • style (string, optional): Summary style ("concise", "detailed", "bullet-points")

Example usage:

// Summarize a webpage
const result = await server.invoke("summarize", {
  content: "https://example.com/article",
  type: "url",
  maxLength: 300,
  style: "bullet-points"
});

// Summarize a PDF document
const result = await server.invoke("summarize", {
  content: pdfBase64Content,
  type: "pdf",
  language: "zh",
  style: "detailed"
});

greeting

A dynamic resource that demonstrates basic MCP resource functionality:

  • URI format: greeting://{name}
  • Returns a greeting message with the provided name

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端