What is youtube-data-mcp-server
The youtube-data-mcp-server is an innovative server implementation developed by icraft2170, designed to facilitate seamless interaction between AI language models and YouTube content. By utilizing the YouTube Data API, this server acts as a bridge, allowing AI systems to access and analyze YouTube data through a standardized interface called the Model Context Protocol (MCP). This protocol supports AI systems in securely connecting to various data sources, enabling real-time data access and enhancing the capabilities of AI assistants.
How to Use youtube-data-mcp-server
To get started with the youtube-data-mcp-server, you need to install and configure it with the necessary environment settings.
Installation Steps:
- Automatic Installation: Use a package manager to install the server. You can use commands to set it up automatically on platforms that support it.
- Manual Installation: Download the server code from a repository, install necessary packages using npm, and configure your environment.
Configuration:
- Set your
YOUTUBE_API_KEYin the environment variables to authorize access to YouTube's data. - Optional: Specify a default language for transcripts using
YOUTUBE_TRANSCRIPT_LANG.
Usage:
- Once installed, you can run the server to start interacting with YouTube data.
- Configure your AI client, such as Claude Desktop, to integrate with the server using the MCP settings.
Key Features of youtube-data-mcp-server
The youtube-data-mcp-server offers a comprehensive suite of tools for accessing and analyzing YouTube content. Here are its key features:
Video Information
- Detailed Video Retrieval: Obtain comprehensive information about videos including titles, descriptions, duration, and statistics.
- Video Search: Look for videos using specific keywords.
- Related Videos: Fetch videos related to a specific one, leveraging YouTube's recommendation algorithms.
- Engagement Analysis: Calculate and analyze engagement ratios to understand viewer interactions with videos.
Transcript/Caption Management
- Multi-language Support: Access video captions in various languages.
- Language Preferences: Specify preferred transcript languages for more tailored content analysis.
- Time-stamped Captions: Use precise time-stamped captions for easy content referencing.
Channel Analysis
- Channel Statistics: View detailed metrics such as subscriber counts, total views, and video counts.
- Top-performing Videos: Identify and retrieve the highest-performing videos from a channel.
- Growth Metrics: Analyze channel growth and engagement over time.
Trend Analysis
- Trending Content: Discover trending videos by region and category to stay updated with current popular content.
- Performance Comparison: Compare metrics across multiple videos to identify trends and patterns.
- Category Insights: Explore popular content within specific categories to understand audience preferences.
By utilizing these features, users can gain deep insights into YouTube content, helping enhance the capabilities of AI models and applications. The server's robust design ensures secure and efficient access to YouTube data, making it an invaluable tool for AI-driven analysis and content interaction.
How to Use
To use the youtube-data-mcp-server, follow these steps:
- Visit https://github.com/icraft2170/youtube-data-mcp-serverhttps://github.com/icraft...
- Follow the setup instructions to create an account (if required)
- Connect the MCP server to your Claude Desktop application
- Start using youtube-data-mcp-server capabilities within your Claude conversations
Additional Information
Created
March 16, 2025
Company
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