adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

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.

An MCP server based on the YouTube Data API v3 that provides 14 functions to obtain real-time data on YouTube videos, channels, playlists, etc., supporting advanced functions such as content evaluation and caption extraction, suitable for AI assistant integration.

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.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

A multi - functional MCP server integrating RunwayML and Luma AI APIs, supporting video/image generation and processing tasks

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

PersonaLive is an AI-based real-time portrait animation system that supports real-time driving through a camera or offline video processing to generate vivid virtual avatars, suitable for scenarios such as live streaming.

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.

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.

An MCP server based on TypeScript that provides AI image and video generation functions, requiring the support of an API key from GPT4O Image Generator.

A YouTube API bridging server based on the MCP protocol, used for AI assistants to obtain video captions and generate summaries

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 Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

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.

MCP Kling is the first and only complete Kling AI MCP server, offering 13 creative tools that support video generation, image processing, lip-syncing, and virtual try-on, enabling seamless integration with Claude, suitable for content creators and developers.

Webcam MCP is an MCP server that provides webcam access for LLM agents, supporting photo taking and video recording, enabling AI agents to independently observe and interact with the physical environment.

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.

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