MCP Content Summarizer Server

@0xshellming

代码仓库主页

基本信息

分类

其他

传输方式

stdio

作者

0xshellming

关于 MCP Content Summarizer Server

MCP Server for AI Summarization

#ai#book#ebook#gemini#bookreader#summarizer#ai-summarizer#deepseek-r1

MCP Content Summarizer Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Content Summarizer Server 工具

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概览

What is MCP Content Summarizer Server?

MCP Content Summarizer Server is a Model Context Protocol (MCP) server that uses Google's Gemini 1.5 Pro model to provide intelligent summarization for various content types. It is powered by 3MinTop, an AI reading tool that helps users understand content in three minutes.

How to use MCP Content Summarizer Server?

Clone the repository, run pnpm install, build with pnpm run build, and start with pnpm start. For desktop app integration, add the provided configuration to your app's server config pointing to dist/index.js.

Key features of MCP Content Summarizer Server

Summarizes plain text, web pages, PDFs, EPUBs, and HTML
Uses Google's Gemini 1.5 Pro model
Customizable summary length and language
Multi‑language support with smart context preservation
Includes a dynamic greeting resource for testing

Use cases of MCP Content Summarizer Server

Summarizing web articles or blog posts
Extracting key points from PDF documents
Creating concise summaries of EPUB books
Generating bullet‑point overviews of any text content

常见问题

What content types are supported?

The server supports plain text, web pages (via URL), PDF documents (base64 encoded), EPUB files, and HTML content.

What AI model is used for summarization?

The summarization is powered by Google's Gemini 1.5 Pro model.

How do I customize the summary?

You can set optional parameters: `maxLength` (default 200 characters), `language` (default "en"), `focus` (specific aspect), and `style` (concise, detailed, or bullet‑points).

How do I integrate with a desktop app?

Add the following to your desktop app's server configuration: `"command": "node"` and `"args": ["<absolute path>/dist/index.js"]`.

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