youtube-data-mcp-server

[](https://mseep.ai/app/icraft2170-youtube-data-mcp-server) # YouTube MCP Server [](https://smithery.ai/server/@icraft2170/youtube-data-mcp-server) A Model Context Protocol (MCP) server implementation utilizing the YouTube Data API. It allows AI language models to interact with YouTube content through a standardized interface. ## Key Features ### Video Information * Retrieve detailed video information (title, description, duration, statistics) * Search for videos by keywords * Get related videos based on a specific video * Calculate and analyze video engagement ratios ### Transcript/Caption Management * Retrieve video captions with multi-language support * Specify language preferences for transcripts * Access time-stamped captions for precise content reference ### Channel Analysis * View detailed channel statistics (subscribers, views, video count) * Get top-performing videos from a channel * Analyze channel growth and engagement metrics ### Trend Analysis * View trending videos by region and category * Compare performance metrics across multiple videos * Discover popular content in specific categories ## Available Tools The server provides the following MCP tools: | Tool Name | Description | Required Parameters | |-----------|-------------|---------------------| | `getVideoDetails` | Get detailed information about multiple YouTube videos including metadata, statistics, and content details | `videoIds` (array) | | `searchVideos` | Search for videos based on a query string | `query`, `maxResults` (optional) | | `getTranscripts` | Retrieve transcripts for multiple videos | `videoIds` (array), `lang` (optional) | | `getRelatedVideos` | Get videos related to a specific video based on YouTube's recommendation algorithm | `videoId`, `maxResults` (optional) | | `getChannelStatistics` | Retrieve detailed metrics for multiple channels including subscriber count, view count, and video count | `channelIds` (array) | | `getChannelTopVideos` | Get the most viewed videos from a specific channel | `channelId`, `maxResults` (optional) | | `getVideoEngagementRatio` | Calculate engagement metrics for multiple videos (views, likes, comments, and engagement ratio) | `videoIds` (array) | | `getTrendingVideos` | Get currently popular videos by region and category | `regionCode` (optional), `categoryId` (optional), `maxResults` (optional) | | `compareVideos` | Compare statistics across multiple videos | `videoIds` (array) | ## Installation ### Automatic Installation via Smithery Automatically install YouTube MCP Server for Claude Desktop via [Smithery](https://smithery.ai/server/@icraft2170/youtube-data-mcp-server): ```bash npx -y @smithery/cli install @icraft2170/youtube-data-mcp-server --client claude ``` ### Manual Installation ```bash # Install from npm npm install youtube-data-mcp-server # Or clone repository git clone https://github.com/icraft2170/youtube-data-mcp-server.git cd youtube-data-mcp-server npm install ``` ## Environment Configuration Set the following environment variables: * `YOUTUBE_API_KEY`: YouTube Data API key (required) * `YOUTUBE_TRANSCRIPT_LANG`: Default caption language (optional, default: 'ko') ## MCP Client Configuration Add the following to your Claude Desktop configuration file: ```json { "mcpServers": { "youtube": { "command": "npx", "args": ["-y", "youtube-data-mcp-server"], "env": { "YOUTUBE_API_KEY": "YOUR_API_KEY_HERE", "YOUTUBE_TRANSCRIPT_LANG": "ko" } } } } ``` ## YouTube API Setup 1. Access Google Cloud Console 2. Create a new project or select an existing one 3. Enable YouTube Data API v3 4. Create API credentials (API key) 5. Use the generated API key in your environment configuration ## Development ```bash # Install dependencies npm install # Run in development mode npm run dev # Build npm run build ``` ## Network Configuration The server exposes the following ports for communication: - HTTP: 3000 - gRPC: 3001 ## System Requirements - Node.js 18.0.0 or higher ## Security Considerations - Always keep your API key secure and never commit it to version control systems - Manage your API key through environment variables or configuration files - Set usage limits for your API key to prevent unauthorized use ## License This project is licensed under the MIT License. See the LICENSE file for details.