The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

Awesome MCP Security is a collection of resources related to the security of the Model Context Protocol (MCP), including security considerations, papers, videos, articles, tools, and servers, aiming to help users understand and address MCP - related security challenges.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

The YouTube MCP Server is a tool for obtaining and extracting subtitles from YouTube videos, enabling AI language models to access and process video content.

The implementation of the 360 AI Cloud Disk MCP Service allows AI models to interact with the cloud disk through a standard protocol, providing intelligent operation capabilities such as file management, upload and download, and video processing.

The AI Video Generation MCP Server supports text and image input to generate dynamic videos, providing multiple parameter controls and model selections.

The Jianying video production MCP server is an automated tool based on the Model Context Protocol, enabling AI assistants to create professional video content through natural language, supporting automatic creation of Jianying drafts, adding materials, applying special effects, and exporting project files.

A server tool based on the Model Context Protocol, used to extract subtitle text from YouTube videos. It supports integration with Cursor and Claude Desktop, facilitating AI to directly analyze video content.

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.

A Pixabay API service based on the MCP protocol, providing image and video search functions for AI models.

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.

The Luma AI MCP Server is a service based on the Model Context Protocol, integrating the Luma AI Dream Machine API (v1), providing a toolset for AI-generated videos/images, including text/image-to-video, video extension, audio addition, image quality improvement, etc., and supports direct calls through Claude Desktop.

The MCP server for YouTube video transcript extraction supports multi - language transcript acquisition, making it convenient for AI models like Claude to directly use video transcript content.

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.

The CloudGlue MCP service is a bridge connecting AI assistants and video data. It processes video content in a structured way so that it can be understood and used by large language models.