Using ffmpeg command line to achieve an mcp server, can be very convenient, through the dialogue to achieve the local video search, tailoring, stitching, playback and other functions
Example client config (verify package name in the repo README)
{
"mcpServers": {
"ffmpeg-mcp": {
"command": "uvx",
"args": ["ffmpeg-mcp"]
}
}
}Transparent heuristic — same formula for every entry. Total 60/100.
Glif's official hosted media-generation agent: generate images, video, and audio, transcribe, and chain multi-step media workflows from natural language. Remote server at https://glif.app/api/mcp (OAuth).
Chat raw clips into a finished cut.
Zero-dependency browser video editor that AI agents drive through a JSON timeline. MCP tools to add/patch clips, keyframes, transitions, text animations and filters, import media, and analyze a reference video into an edit blueprint (shots, beats, BPM, drop); the open editor UI live-reloads on every change and exports via ffmpeg.
Guardrailed video editing for AI agents with 135 MCP tools for FFmpeg editing, captions, audio, effects, Hyperframes, repurposing, resumable workflows, quality gates, and provenance receipts. Includes a Python client and `kino` CLI; runs locally with no required API keys.
The first MCP server for Final Cut Pro. 53 tools that parse, edit, and generate FCPXML timelines — health checks, flash frame detection, chapter markers, rough cuts, NLE export. 912 tests, MIT licensed.
All-in-one multimodal MCP for 300+ OpenRouter models: text chat, image / audio / video analysis, and image / audio / video generation (Veo 3.1, Sora 2 Pro, Seedance, Wan). Structured `_meta.code` error taxonomy, IPv4+IPv6 SSRF guards, path-sandbox for disk writes, retry-after-aware backoff, multi-arch Docker.