MCP Content Summarizer Server
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About MCP Content Summarizer Server
MCP Server for AI Summarization
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"content-summarizer": {
"command": "node",
"args": [
"{ABSOLUTE PATH TO FILE HERE}/dist/index.js"
]
}
}
}Tools
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Overview
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
FAQ from MCP Content Summarizer Server
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"].
Frequently asked questions
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"]`.
Basic information
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