YouTube MCP Server
by icraft2170
The YouTube MCP Server is a Model Context Protocol (MCP) server implementation that utilizes the YouTube Data API. It enables AI language models to interact with YouTube content through a standardized interface.
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What is YouTube MCP Server?
The YouTube MCP Server is a server that allows AI language models to access and interact with YouTube data using the Model Context Protocol. It provides tools for retrieving video information, transcripts, channel statistics, and trending videos.
How to use YouTube MCP Server?
To use the server, you need to install it either automatically via Smithery or manually using npm or git. You'll need to configure environment variables, including a YouTube Data API key. Then, configure your MCP client (e.g., Claude Desktop) to connect to the server. You can then use the available tools by sending requests with the required parameters.
Key features of YouTube MCP Server
Retrieve detailed video information
Manage video transcripts/captions with multi-language support
Analyze channel statistics and top-performing videos
View trending videos by region and category
Use cases of YouTube MCP Server
Analyzing video content for sentiment and topic extraction
Generating summaries of YouTube videos
Building AI-powered YouTube search and recommendation systems
Monitoring channel growth and engagement metrics
FAQ from YouTube MCP Server
What is the YouTube Data API?
What is the YouTube Data API?
The YouTube Data API allows developers to access and manage YouTube data, such as videos, channels, and playlists.
How do I get a YouTube Data API key?
How do I get a YouTube Data API key?
You can obtain an API key by creating a project in the Google Cloud Console, enabling the YouTube Data API v3, and creating API credentials.
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standardized interface that allows AI language models to interact with external tools and data sources.
What are the system requirements for running the server?
What are the system requirements for running the server?
The server requires Node.js 18.0.0 or higher.
How do I keep my API key secure?
How do I keep my API key secure?
Always store your API key in environment variables or configuration files and never commit it to version control systems. Set usage limits for your API key to prevent unauthorized use.