Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis

A YouTube video analysis service based on the MCP protocol, providing functions for subtitle extraction, video search, and channel information acquisition.

YouTube video analysis MCP service, providing transcription extraction, content summarization, and AI query functions

The YouTube MCP Server is a service that interacts with YouTube data through a standard interface, providing query and analysis functions for videos, channels, comments, and subtitles.

An AI-driven video encoding assistance tool that connects Claude AI to the encoding workflow through the MCP server, providing intelligent error parsing, real-time analysis, and automated solutions to reduce manual intervention.

TikTok MCP is a tool that integrates TikTok access functions, providing video content analysis, subtitle acquisition, and post detail query services for applications such as Claude AI through TikNeuron.

The YouTube data MCP server enables interaction between AI language models and YouTube content through a standardized interface

The Shaka Packager MCP Server is an experimental project that integrates the Shaka Packager video processing tool with the Claude AI application, providing video transcoding, encapsulation, and analysis functions. It works with the file system server via the MCP protocol, enabling Claude to access and process local video files.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

An MCP service for YouTube video analysis based on the Google Gemini Vision API, providing functions such as video description, summarization, Q&A, and key segment extraction.

The MCP Gemini API server is a Google Gemini API proxy service designed for Cursor and Claude, providing functions such as text generation, image analysis, video analysis, and web search.

A YouTube video caption acquisition and analysis MCP server designed for Claude

TikTok MCP is a tool that integrates TikTok access functions, supporting the analysis of video popularity factors, retrieval of video content, and interaction with videos. It is suitable for applications such as Claude AI.

The YouTube MCP server is a comprehensive model context protocol server that provides real-time YouTube data access through the YouTube Data API v3. It supports 14 functions, including video detail retrieval, channel analysis, content evaluation, and caption extraction, and is suitable for AI assistant integration.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

A professional video information analysis tool based on the MCP protocol, providing multi - dimensional video file analysis capabilities and supporting output in JSON, TEXT, and Markdown formats

An MCP server implementation based on the YouTube Data API, providing a standardized interface for AI language models to access YouTube content, including functions such as video information, subtitle management, channel analysis, and trend analysis.

An MCP service that transforms YouTube into a queryable knowledge source, providing functions such as video search, detail retrieval, and content analysis, and supporting advanced operations such as summary generation and learning path planning through AI.

The Video Indexer MCP server provides tools and resources for interacting with the Video Indexer API, supporting the generation and retrieval of prompt content from video insights.

The TwelveLabs MCP service is a video analysis platform based on the TwelveLabs API, offering index management, video analysis, text search, and content generation capabilities.

A YouTube data interaction server based on the Model Context Protocol, providing query and analysis functions for resources such as videos, channels, comments, and subtitles.

This project is a collection of multimodal model context protocol servers by Pixeltable, providing indexing and querying services for audio, video, images, and documents, and supporting local Docker deployment.