MCP Summarizer

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Summarize plain text, web pages, PDF documents, EPUB books and HTML content.

What can you do with MCP Summarizer?

  • Universal content summarization using Google's Gemini 1.5 Pro model
  • Support for multiple content types:
  • Customizable summary length
  • Multi-language support
  • Smart context preservation
  • Dynamic greeting resource for testing

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. MCP Content Summarizer Server
  2. Powered by 3MinTop
  3. Features
  4. Getting Started
  5. Development
  6. Usage with Desktop App
  7. Available Tools
  8. Contributing
  9. License

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.

Frequently asked questions

What is MCP Summarizer?

Summarize plain text, web pages, PDF documents, EPUB books and HTML content.

How do I install MCP Summarizer?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is MCP Summarizer open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains MCP Summarizer?

It is published by 0xshellming. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.