"YouTube channel for @LebronJames12432" matching MCP servers:

Bridges a Matrix room with Claude Code's claude/channel feature, enabling chat from Matrix to interact with a running Claude Code session.

MCP server for YouTube creator-ops — video metadata, comments, playlists, channel analytics, plus a ComfyUI bridge for AI thumbnail generation.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

Extracts YouTube transcripts and performs AI-powered video analysis for Claude Desktop, enabling transcript retrieval, quality analysis, and smart resource management.

Remote MCP server providing tools for YouTube script and title strategy, including competitor title analysis, channel DNA generation, hook creation, and script drafting.

Provides YouTube video search, comment analysis, AI-powered text tools, and content generation via MCP protocol and REST API.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

A Node.js server that runs a WebSocket relay and AI bridges (Cursor and OpenRouter) to integrate Figma with MCP agents.

Enables generating 3D models from text prompts, rendering turntable animations, and uploading them directly to YouTube via an MCP interface.

Enables fetching YouTube video transcripts in various formats via the Model Context Protocol, allowing LLMs to access and process YouTube video transcripts securely.

Enables conversational analysis of YouTube videos using Gemini 2.5 Pro, supporting multi-turn sessions, direct URL processing, and local video uploads.

Enables MCP clients to analyze YouTube videos by extracting summaries, timestamped outlines, diagrams with Mermaid code, and targeted insights about specific moments using Gemini's native video understanding.

Analyzes public YouTube videos with Google Gemini, enabling summarization, timestamped insights, metadata extraction, audio analysis, and long-video sessions with follow-up questions.

Fetches YouTube video transcripts, using free captions when available and falling back to Gemini-based transcription for missing or broken captions.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Provides Claude Code with visual capabilities by analyzing local images via Xiaomi MiMo-V2.5, enabling image analysis, comparison, and UI inspection to guide frontend development.

Generates production-ready short video scripts from real-time web search data using Tavily and Gemini, exposed as MCP tools.