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nabid-pf

YouTube Video Summarizer MCP Server

by nabid-pf
README.md
[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/nabid-pf-youtube-video-summarizer-mcp-badge.png)](https://mseep.ai/app/nabid-pf-youtube-video-summarizer-mcp)

# YouTube Video Summarizer MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to analyze and summarize YouTube videos by extracting captions, descriptions, and metadata.

## Features

- Extract video captions/subtitles in multiple languages
- Retrieve comprehensive video metadata (title, description, duration)
- Provide structured data to AI assistants for comprehensive video summarization
- Works with any MCP-compatible client through MCP integration
- Support for multiple YouTube URL formats
- Language-specific caption extraction

## Integrating with MCP Clients

To add the MCP server to your MCP client, you can use either method:

### Option 1: Using npx (No Installation Required)

Add the following to your MCP client configuration file:

```json
{
  "mcpServers": {
    "youtube-video-summarizer": {
      "command": "npx",
      "args": ["-y", "youtube-video-summarizer-mcp"]
    }
  }
}
```

The server automatically filters out any npm/npx output to ensure MCP protocol compliance.

### Option 2: Global Installation (Recommended for Production)

1. Install the package globally:
   ```bash
   npm install -g youtube-video-summarizer-mcp
   ```

2. Add the following to your MCP client configuration file:

```json
{
  "mcpServers": {
    "youtube-video-summarizer": {
      "command": "youtube-video-summarizer",
      "args": []
    }
  }
}
```

## Available Tools

When integrated with an MCP client, the following commands become available:

- **get-video-info-for-summary-from-url**: Extract video information and captions from a YouTube URL
- **get-video-captions**: Get captions/subtitles for a specific video
- **get-video-metadata**: Retrieve comprehensive video metadata

## Usage Examples

Once integrated with your MCP client, you can use natural language to request video summaries:

```
"Can you summarize this YouTube video: https://youtube.com/watch?v=VIDEO_ID"
"What are the main points from this video's captions?"
"Extract the key information from this YouTube link"
```

## Installation

```bash
npm install -g youtube-video-summarizer-mcp
```

## Development

```bash
git clone https://github.com/nabid-pf/youtube-video-summarizer-mcp.git
cd youtube-video-summarizer-mcp
npm install
npm run build
```

## How It Works

1. **URL Parsing**: Extracts video IDs from various YouTube URL formats
2. **Caption Extraction**: Uses youtube-caption-extractor to get subtitles
3. **Metadata Retrieval**: Fetches video title, description, and other details
4. **MCP Integration**: The Model Context Protocol (MCP) to communicate with AI assistants

## 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.

TDQS

B3.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as retrieving video details and captions for summarization from a YouTube URL.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name uses a clear verb-noun pattern (get-video-info-for-summary-from-url) that is descriptive and follows a logical structure.

Tool Count2/5

A single tool is too few for a server named 'YouTube Video Summarizer MCP Server', as it suggests a broader summarization functionality. The tool only fetches video info and captions, lacking operations like generating summaries, processing text, or managing multiple videos, making the scope feel incomplete and thin.

Completeness2/5

The tool set is severely incomplete for the server's purpose. It only provides video details and captions, but does not include any summarization tools (e.g., generate-summary, analyze-captions) or related operations (e.g., list-videos, save-summary), leaving obvious gaps that will hinder agent workflows.

Maintenance

ActivityInactive
ResponsivenessUnresponsive