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.

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

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

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.

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

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.

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.

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.

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.

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 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.

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.

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

The FAL Image and Video MCP Server is a high - performance MCP protocol server specifically designed for image and video generation in FAL AI, supporting automatic download to local machines. It provides public URLs, data URLs, and local file paths, suitable for MCP - compatible clients such as Claude.

An MCP server developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.

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.

A TypeScript-based MCP server that provides AI image and video generation functions and requires support from the API key of GPT4O Image Generator.

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

An MCP server based on Google Gemini AI that provides image, audio, and video recognition functions, supporting multiple transmission methods and client integration.

An AI-driven YouTube video upload tool that supports OAuth2 authentication and multi-channel management, eliminates the need for CLI or YouTube Studio, and does not share user data.

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.

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 YouTube MCP server project that provides video search, subtitle extraction, and semantic search functions, and supports integration with AI clients.

An AI-driven video encoding assistant tool that connects Claude AI through the MCP server to provide intelligent error parsing, real-time monitoring, and automated solutions.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

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.

VideoCutter is a professional multimedia tool that integrates video, audio, and image processing. It supports AI - intelligent editing and the MCP protocol, providing a one - stop intelligent creation solution.

A professional video editing tool based on the AI MCP protocol, providing core functions such as precise editing, intelligent merging, and flexible splitting. It supports multiple formats and batch processing, eliminating the need for manual FFmpeg installation.

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.

VideoLingo is a tool that integrates video translation, localization, and dubbing, aiming to generate Netflix-quality subtitles. It eliminates生硬的机器翻译 and multi-line subtitles while providing high-quality dubbing to achieve cross-language knowledge sharing.

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.

Interactive chat application for former principals of Sydney Grammar School, integrating video playback and AI dialogue functions