Back to MCP directory
publicPublicdnsLocal runtime

mcp-summarizer

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

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client