Mcp Content Summarizer Server
MCP Server for AI Summarization
Overview
What is MCP Summarizer?
MCP Summarizer is an innovative server designed for AI summarization tasks. It leverages advanced algorithms to condense large volumes of text into concise summaries, making it easier for users to grasp essential information quickly. This tool is particularly useful for professionals, students, and researchers who need to digest extensive documents efficiently.
Features of MCP Summarizer
- AI-Powered Summarization: Utilizes cutting-edge AI technology to generate accurate and coherent summaries.
- User-Friendly Interface: Designed with simplicity in mind, allowing users to easily input text and receive summaries.
- Customizable Settings: Users can adjust parameters to tailor the summarization process according to their needs.
- Multi-Language Support: Capable of summarizing texts in various languages, making it accessible to a global audience.
- Integration Capabilities: Can be integrated with other applications and platforms for enhanced functionality.
How to Use MCP Summarizer
- Access the Tool: Visit the MCP Summarizer website at 3min.top/en.
- Input Text: Paste the text you wish to summarize into the provided input field.
- Adjust Settings: Modify any available settings to customize the summarization process.
- Generate Summary: Click on the 'Summarize' button to receive your condensed text.
- Review and Utilize: Read the generated summary and use it as needed for your projects or studies.
Frequently Asked Questions
Q: Is MCP Summarizer free to use?
A: Yes, MCP Summarizer offers free access to its summarization features, although there may be premium options available for advanced functionalities.
Q: Can I use MCP Summarizer for long documents?
A: Absolutely! MCP Summarizer is designed to handle lengthy texts, providing concise summaries regardless of the document's size.
Q: What types of documents can I summarize?
A: You can summarize various types of documents, including articles, reports, essays, and more.
Q: Is my data safe when using MCP Summarizer?
A: Yes, MCP Summarizer prioritizes user privacy and data security, ensuring that your input text is not stored or shared without consent.
Q: How accurate are the summaries generated?
A: The accuracy of the summaries is high, thanks to the advanced AI algorithms employed by MCP Summarizer, but it is always recommended to review the output for critical tasks.
Details
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.
<a href="https://3min.top"><img width="380" height="200" src="/public/imgs/section1_en.jpg" alt="MCP Content Summarizer Server" /></a>
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 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.
Server Config
{
"mcpServers": {
"mcp-summarizer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--0xshellming--mcp-summarizer--mcp-summarizer",
"pnpm run start"
],
"env": {}
}
}
}