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MCP Content Summarizer Server

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MCP Server for AI Summarization

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Overview

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.

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.

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

Add to your AI client

Use these steps to connect MCP Content Summarizer Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-summarizer-0xshellming": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-summarizer-0xshellming": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-summarizer-0xshellming": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-summarizer-0xshellming": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-summarizer-0xshellming": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-summarizer-0xshellming": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-summarizer-0xshellming"
      ]
    }
  }
}

FAQ

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.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":1932,"uuid":"9b156e9c-889a-4b39-a3df-51771436b491","name":"mcp-summarizer","title":"MCP Content Summarizer Server","description":"MCP Server for AI Summarization","avatar_url":"https://avatars.githubusercontent.com/u/11560552?v=4","created_at":"2025-03-05T06:13:37.814Z","updated_at":"2025-03-12T10:21:40.659Z","status":"created","author_name":"0xshellming","author_avatar_url":"https://avatars.githubusercontent.com/u/11560552?v=4","tags":"ai,book,ebook,gemini,bookreader,summarizer,ai-summarizer,deepseek-r1","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/0xshellming/mcp-summarizer","target":"_self","content":"$29","summary":"$2a","img_url":"https://github.com/0xshellming/mcp-summarizer/raw/master/public/imgs/section1_en.jpg","type":null,"metadata":"{\"star\":\"79\",\"license\":\"\",\"language\":\"JavaScript\",\"is_official\":false,\"latest_commit_time\":\"2025-02-28 19:46:55\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data