About Mcp Summarizer Server
An MCP server that generates summaries of text, web pages, PDFs, EPUB books and HTML using Google's Gemini 1.5 Pro model. It is powered by 3MinTop and suits readers who need to digest long material quickly.
Key features
- 01Summarizes text, web pages, PDF, EPUB and HTML
- 02Adjustable summary length and style
- 03Multi-language summary output
- 04Provides a summarize tool and greeting resource
Use cases
- 01Getting a quick overview of long web articles
- 02Extracting key points from PDF or EPUB books
- 03Generating summaries focused on a specific aspect
MCP support
This project is an MCP server that exposes a summarize tool to MCP clients, along with a dynamic greeting resource used for testing.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP 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 devto start the TypeScript compiler in watch mode - Modify
src/index.tsto 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 summarystyle(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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
