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CodeRabbitsource code for glassBead's Advanced MCP Topics tutorial series on YouTube.
"Automated summary for AI agents and search engines."
source code for glassBead's Advanced MCP Topics tutorial series on YouTube.
{"id":"4aecd543-99c4-4074-bf8a-9397b2ac2547","title":"Advanced MCP YouTube","description":"Advanced MCP YouTube integrates YouTube API functionalities, allowing AI coding assistants to manage video content, channel settings, and comments directly through natural language. This server enables developers to automate tasks like uploading videos, retrieving analytics, moderating comments, and managing playlists without leaving their development environment, significantly enhancing content management workflows.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["youtube-api","video-management","content-creation","data-analytics","mcp-server"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","schemaDescription":"An MCP server providing programmatic access to the YouTube Data API, allowing AI agents to perform video uploads, manage channel content, moderate comments, retrieve video analytics, and control playlists. Facilitates automation of YouTube content lifecycle management.","author":"glassBead-tc","authorGithub":"https://github.com/glassBead-tc/advanced-mcp-youtube","license":"Unknown","transport":"Remote","language":"Python","useCases":["Upload new video files to a specified YouTube channel with custom metadata.","Retrieve comprehensive analytics for videos, including views, watch time, and audience demographics.","Moderate comments, including approving, disapproving, or replying to user interactions.","Create and manage video playlists, adding or removing content programmatically.","Update video titles, descriptions, and tags for existing content."],"exampleCommand":"NONE","mcpConfig":"NONE","compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Video upload confirmation","Analytics reports","Comment threads","Playlist IDs","Video metadata"],"faq":[{"question":"What can you do with Advanced MCP YouTube?","answer":"Advanced MCP YouTube allows AI assistants to interact with the YouTube Data API to manage videos, channels, and comments. This includes uploading videos, retrieving detailed analytics, moderating user comments, and programmatically managing playlists, enhancing content creators' workflows."},{"question":"Which AI assistants and IDEs are compatible with Advanced MCP YouTube?","answer":"This MCP server is designed to work with any AI assistant and IDE that supports the Model Context Protocol, such as Google Antigravity IDE. It provides a standardized interface for interacting with YouTube services."},{"question":"How do I install and configure Advanced MCP YouTube?","answer":"Installation typically involves cloning the repository and installing dependencies, likely using `pip install -r requirements.txt`. Configuration requires setting up a YouTube API key and potentially OAuth credentials, which are usually managed through environment variables or a configuration file before starting the server."}]}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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