MCP Content Summarizer Server

By 0xshellming GitHub

MCP Server for AI Summarization

ai book

Overview

What is MCP Content Summarizer?

MCP Content Summarizer is a server that utilizes Google's Gemini 1.5 Pro model to provide intelligent summarization capabilities for various types of content, helping users generate concise summaries while preserving key information.

How to use MCP Content Summarizer?

To use the MCP Content Summarizer, clone the repository, install the dependencies, build the project, and start the server. You can also integrate it with a desktop app by configuring the server settings.

Key features of MCP Content Summarizer?

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

Use cases of MCP Content Summarizer?

Summarizing academic articles for quick understanding
Generating concise summaries of lengthy reports
Assisting in reading comprehension for students by summarizing textbooks

FAQ from MCP Content Summarizer?

What types of content can be summarized?

The server supports plain text, web pages, PDF documents, EPUB books, and HTML content.

Is there a limit to the summary length?

Yes, you can customize the maximum length of the summary according to your needs.

Can I use it for multiple languages?

Yes, the summarizer supports multiple languages.

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

Clone this repository
Install dependencies:
```
pnpm install
```
Build the project:
```
pnpm run build
```
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"
});