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.

A TikTok video processing server based on the MCP protocol, supporting watermark-free video download, audio extraction, and text conversion functions.

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.

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

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

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 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.

A media processing server based on Node.js that implements the MCP protocol and provides powerful video and image processing 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 MCP server implementation integrating the Brave Search API, providing web search, local point of interest search, video search, image search, and news search functions.

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

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

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

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.

A TikTok and Red Book watermark-free resource extraction tool based on the MCP protocol, supporting video and image parsing and text transcription functions

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.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

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.

This is an MCP server based on Google's Gemini API, providing text conversation, image generation, and video generation functions. It can be used as an alternative to Codex MCP.

MiniMax MCP JS is a MiniMax MCP protocol toolset implemented in JavaScript/TypeScript, providing functions such as image generation, video generation, and text-to-speech, and supporting interaction with MCP-compatible clients.

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.

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.

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 DeepSRT MCP Server is a protocol service that provides YouTube video summarization functionality through integration with the DeepSRT API, supporting multiple languages and summary modes.

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.

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.

yt-dlp-mcp is an MCP server implementation integrating yt-dlp, providing video and audio content download functions for LLMs and supporting multiple platforms such as YouTube, Facebook, and TikTok.

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.

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

The DeepSRT MCP server is a protocol service that provides YouTube video summary functionality by integrating the DeepSRT API

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 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 video processing server based on Node.js and FFmpeg, providing video transcoding and audio extraction functions

A YouTube video search server based on the MCP protocol, providing video search, information retrieval, and subtitle extraction functions.

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.

An MCP server implemented through the FFmpeg command line, supporting functions such as local video search, clip, splicing, and play.

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.

Tencent Cloud COS MCP Server is a service that allows large models to quickly access Tencent Cloud Storage (COS) and CI capabilities without coding, providing cloud storage and processing functions such as file upload and download, image processing, and video processing.