What is Mcp Summarizer Server

The mcp-summarizer-server is an MCP Server designed for AI-powered content summarization using Google’s Gemini 1.5 Pro model. It efficiently generates concise summaries while preserving essential information from various content formats.

Use cases

Use cases include summarizing academic articles, generating concise reports from lengthy documents, creating quick overviews of web pages, and assisting users in understanding complex texts in a shorter time.

How to use

To use the mcp-summarizer-server, clone the repository, install dependencies with ‘pnpm install’, build the project using ‘pnpm run build’, and start the server with ‘pnpm start’. For integration with a desktop app, configure the server settings accordingly.

Key features

Key features include universal content summarization, support for multiple content types (plain text, web pages, PDF documents, EPUB books, HTML), customizable summary length, multi-language support, smart context preservation, and a dynamic greeting resource for testing.

Where to use

The mcp-summarizer-server can be utilized in various fields such as education, content creation, research, and any domain requiring efficient information extraction and summarization from diverse content.

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.

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.