The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.

An open - source short - video automatic generation tool that integrates text - to - speech, automatic subtitles, background videos, and music to create professional short videos from simple text input.

A service to obtain YouTube video subtitles through the MCP protocol

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.

An MCP server integrated with the OpenAI Sora 2 video generation API, providing video generation, remixing, status query, and automatic download functions

An audio transcription MCP service based on MLX Whisper, supporting transcription of local files, Base64 audio, and YouTube videos, optimized for Apple M-series chips.

The enhanced Markdownify MCP UTF-8 is a Markdown processing service that supports multilingual content conversion. It optimizes UTF-8 encoding support, provides Markdown conversion capabilities for various formats such as PDF, images, audio and video, and Office documents, and is specifically optimized for the Windows system.

A Video Editing MCP Server based on FFmpeg that supports performing operations such as video clipping, merging, and format conversion through natural language commands

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.

An MCP server that provides access to custom YouTube playlists and can obtain the URLs of videos added within a specified time range.

Luma API MCP is a project that provides image and video generation services. Users can access it through an API key, supporting multiple aspect ratios, models, and resolution options, and can control the generation effect through reference images or video keyframes.

ComfyUI custom nodes support downloading pictures and videos from over 1000 websites such as Instagram, Reddit, YouTube, and TikTok, providing browser cookie authentication and file management functions.

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

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

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.

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.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, offering multiple transcription service options, with flexible configuration and high - efficiency processing capabilities.

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 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.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

This project expands the video speech recognition function. It originally only supported the local Whisper model, and now it newly supports the online speech recognition services of CapCut and Bcut, providing a flexible multi - service selection architecture.

A server tool for obtaining YouTube video transcripts via the MCP protocol

An AI vision analysis MCP server based on Google Gemini and Vertex AI, supporting multimodal analysis of images and videos, providing functions such as object detection and image comparison, and can be integrated into various MCP clients.

A service based on FastMCP that uses Replicate and 0x0.st to achieve online transcription of YouTube/Bilibili videos, providing text output with timestamps and temporary file hosting.

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.

A powerful video editing MCP server that provides comprehensive video and audio editing functions, supports chained operation processing, and seamless integration into MCP clients.

Baidu Smart Cloud Xiling Digital Human Open Platform provides 13 API interfaces based on the MCP protocol, supporting functions such as digital human video generation and voice cloning, and is compatible with various MCP proxy assistants for quick access.

The official MCP server implementation of Plainly, allowing LLM clients to connect and call the Plainly video generation API, providing functions such as design listing, detail querying, rendering submission, and status checking.

AllVoiceLab's official MCP server supports powerful API interactions such as text-to-speech and video translation, providing voice generation, video translation, and intelligent voice conversion services for multiple clients.

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 video editing MCP server based on FFmpeg, supporting operations such as video trimming, merging, and format conversion through natural language instructions, and providing real - time progress tracking and error handling.

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 YouTube data service based on the MCP protocol, providing functions for extracting video subtitles, comments, and other content

YouTube video transcript extraction service that provides the function of obtaining video transcripts through a simple interface, supporting multiple languages and multiple video URL formats.

The MCP API is a watermark removal service for Sora2 videos based on the model context protocol. It can be quickly integrated into mainstream MCP-compatible tools such as Claude Desktop and OpenAI, and can intelligently remove video watermarks through simple API key authentication.