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

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

A Model Context Protocol (MCP) server that learns from your video editing behavior and provides intelligent assistance for film and television post-production workflows.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables real-time AI editing assistance in the WordPress block editor, allowing Claude to proofread, review, edit, translate, compose, and prepare posts for publishing.

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.

Enables automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

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 (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Enables developers to record feature-based development processes and turn Git changes, AI conversations, token usage, technical decisions, and debugging attempts into structured Obsidian learning reviews.

A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.

An MCP server for searching, browsing, and downloading game sprites, models, textures, and sounds from The VG Resource network, covering 100k+ assets across 50+ consoles.

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

AI learning assistant for families. Manages game time rewards based on school grades, homework, and bonus tasks. Syncs with EduPage/PRONOTE. 78 MCP tools with instruction workflows.

A local MCP server that gives Claude Desktop full video editing capabilities via FFmpeg, Whisper, and yt-dlp.

A learning-oriented MCP server with tools for greeting, self-introduction, and name shouting, built with TypeScript and Zod validation.

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