"A resource for learning about video editing" matching MCP servers:

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

Enables users to upload, search, edit, and generate videos through Video Jungle, supporting custom URI schemes and integration with video editing tools like DaVinci Resolve.

Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.

Integrates with Video Jungle to allow LLMs to upload, search, edit, and generate videos from natural language commands.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.

An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Enables educational and learning tasks including flashcard generation with Anki integration, Zotero library management, Obsidian vault interaction, and mathematical expression verification with LaTeX support.

Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.

A MCP server for video multimodal understanding based on Alibaba Cloud DashScope, enabling video content analysis, summarization, scene recognition, and custom analysis.

A learning MCP server that transforms technical topics into four structured parts: definition, analogy, example, and hands-on try-it exercises, enabling beginner-friendly study directly from any MCP client.

Enables AI agents to turn scripts into narrated videos in YouTube 16:9 or Reels 9:16 formats using HTML pages, Remotion compositions, or HyperFrames layouts, with TTS-driven timing, captions, and optional S3 uploads.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

Enables AI agents to browse NASA Langley's catalog of turbulence-model verification and validation cases and retrieve the experimental or correlation reference datasets published for those cases. It lets users filter cases by category and inspect documented flow conditions such as Mach and Reynolds numbers.

MCP server for programmatic video generation. Send a prompt, get an MP4.

MCP server for managing video pipelines, integrating media processing (TTS, STT, image generation) and video editing, with a structured plugin system and tunnel to Claude AI Web.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.