YouTube Video Summarizer MCP Server
[](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
Scored across 1 tool
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.
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.
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.
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.