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Enables searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Provides token-optimized, structured data for LLMs from the YouTube Data API v3.
Builds AI agents leveraging Google ADK, MCP, and the Gemma 3 model for YouTube search functionality.
Fetches trending data from platforms like YouTube, TikTok, and Instagram Reels using various scraping and API techniques.
Demonstrates how to build Model Context Protocol (MCP) servers with TypeScript, enabling large language models to interact with YouTube functionalities and custom prompts.
Provides interactive demos demonstrating core features, elicitations, and AI-powered content generation for building advanced MCP server tools.
Enables AI models to control YouTube Music playback through Google Chrome.
Provides text-to-speech functionality on macOS using the built-in `say` command.
Bridges the Youtube API to AI assistants using the Model Context Protocol, enabling them to access and utilize Youtube data.
Fetches video transcripts and subtitles from platforms like YouTube, Twitter/X, and TikTok, offering cleaned text, raw subtitle formats, and comprehensive video metadata.
Provides example Model Context Protocol (MCP) servers and guidance for integration with AI tools like GitHub Copilot Chat.
Automates web search, document analysis, and information gathering using agent-based technology.
Transforms years of AI conversation history and personal digital footprint into queryable intelligence for profound self-reflection and insight.
Converts various file types and web content into Markdown format with enhanced UTF-8 encoding support.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Provides AI assistants with real-time access to YouTube data for searching, analysis, and detailed content retrieval.
Searches YouTube videos and automatically saves the results to Google Sheets.
Establishes a Model Context Protocol server to integrate YouTube's data and functionalities directly into Claude Desktop.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Enables AI language models to interact with YouTube content through a standardized Model Context Protocol (MCP) interface.
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