mcp-video 1.2.2

Video editing MCP server for AI agents. 83 tools, 3 interfaces, rich CLI. Local, fast, free.

mcp-video

Video editing and creation for AI agents.
Edit existing video with FFmpeg. Create new video from code with Remotion.

Install • Quick Start • Tools • Full Reference • Agent Discovery • Contributing • Changelog

---

What is mcp-video?

An open-source video editing server built on the Model Context Protocol (MCP). It gives AI agents, developers, and video creators the ability to programmatically edit and create video files.

Two modes:

1. Edit existing video with FFmpeg — trim, merge, overlay text, add audio, apply filters, stabilize, detect scenes, transcribe, and more.
2. Create new video from code with Remotion — scaffold React-based video compositions, preview live, render to MP4, then post-process.

Three interfaces:

Interface	Best For	Example
MCP Server	AI agents (Claude Code, Cursor)	"Trim this video and add a title"
Python Client	Scripts, automation, pipelines	editor.trim("v.mp4", start="0:30", duration="15")
CLI	Shell scripts, quick ops, humans	mcp-video trim video.mp4 -s 0:30 -d 15

---

Installation

Prerequisites: FFmpeg must be installed. For Remotion features, you also need Node.js 18+.

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg

Install:

pip install mcp-video
# or run without installing:
uvx mcp-video

Verify your setup:

mcp-video doctor
mcp-video doctor --json

---

Quick Start

As an MCP Server (for AI agents)

Claude Code:

claude mcp add mcp-video -- uvx mcp-video

Claude Desktop:

{
  "mcpServers": {
    "mcp-video": {
      "command": "uvx",
      "args": ["mcp-video"]
    }
  }
}

Cursor:

{
  "mcpServers": {
    "mcp-video": {
      "command": "uvx",
      "args": ["mcp-video"]
    }
  }
}

Then just ask your agent: "Trim this video from 0:30 to 1:00, add a title card, and resize for TikTok."

As a Python Library

from mcp_video import Client

editor = Client()

info = editor.info("interview.mp4")
clip = editor.trim("interview.mp4", start="00:02:15", duration="00:00:30")
video = editor.merge(clips=["intro.mp4", clip.output_path, "outro.mp4"])
video = editor.add_text(video.output_path, text="EPISODE 42", position="top-center", size=48)
result = editor.resize(video.output_path, aspect_ratio="9:16")

As a CLI Tool

mcp-video info video.mp4
mcp-video trim video.mp4 -s 00:02:15 -d 30
mcp-video convert video.mp4 -f webm -q high
mcp-video template tiktok video.mp4 --caption "Check this out!"

---

MCP Tools

83 tools across 9 categories. All return structured JSON. See the full tool reference for complete details.

Category	Count	Highlights
Core Video	40	trim, merge, text, audio, resize, convert, filters, stabilize, chroma key, subtitles, watermark, batch
AI-Powered	8	transcribe (Whisper), scene detect, stem separation (Demucs), upscale, color grade
Remotion	8	create project, scaffold, render, studio preview, pipeline
Audio Synthesis	6	generate waveforms, presets, sequences, effects — pure NumPy
Visual Effects	5	vignette, chromatic aberration, scanlines, noise, glow
Transitions	3	glitch, pixelate, morph
Layout & Motion	7	grid, pip, animated text, counters, progress bars, auto-chapters
Quality	3	brightness/contrast/audio checks, design analysis, auto-fix
Image Analysis	3	color extraction, palette generation, product analysis

---

Remotion Integration

Create videos programmatically with Remotion — a React framework for video.

1. Create project     -> remotion_create_project
2. Scaffold           -> remotion_scaffold_template
3. Preview live       -> remotion_studio
4. Render             -> remotion_render
5. Post-process       -> remotion_to_mcpvideo

See Remotion docs and the Python client reference.

---

Python Client

from mcp_video import Client
editor = Client()

See the full Python client reference for all methods and return types.

---

CLI Reference

mcp-video [command] [options]

See the full CLI reference for all commands and options.

---

Timeline DSL

For complex multi-track edits, describe everything in a single JSON object:

editor.edit({
    "width": 1080,
    "height": 1920,
    "tracks": [
        {
            "type": "video",
            "clips": [
                {"source": "intro.mp4", "start": 0, "duration": 5},
                {"source": "main.mp4", "start": 5, "trim_start": 10, "duration": 30},
                {"source": "outro.mp4", "start": 35, "duration": 10},
            ],
            "transitions": [
                {"after_clip": 0, "type": "fade", "duration": 1.0},
            ],
        },
        {
            "type": "audio",
            "clips": [
                {"source": "music.mp3", "start": 0, "volume": 0.7, "fade_in": 2},
            ],
        },
    ],
    "export": {"format": "mp4", "quality": "high"},
})

---

Templates

Pre-built templates for common social media formats:

from mcp_video.templates import tiktok_template, youtube_shorts_template

timeline = tiktok_template(video_path="clip.mp4", caption="Check this out!", music_path="bgm.mp3")
result = editor.edit(timeline)

Supports: TikTok, YouTube Shorts, Instagram Reels/Posts, YouTube Videos.

---

Error Handling

Structured, actionable errors with auto-fix suggestions:

{
  "success": false,
  "error": {
    "type": "encoding_error",
    "code": "unsupported_codec",
    "message": "Codec error: vp9 — Auto-convert input from vp9 to H.264/AAC before editing",
    "suggested_action": {
      "auto_fix": true,
      "description": "Auto-convert input from vp9 to H.264/AAC before editing"
    }
  }
}

---

Architecture

mcp_video/
  client.py              # Python Client API
  server.py              # MCP server (83 tools + 4 resources)
  engine.py              # Core FFmpeg engine
  models.py              # Pydantic models
  errors.py              # Error hierarchy + FFmpeg stderr parser
  ffmpeg_helpers.py      # Shared FFmpeg utilities
  audio_engine.py        # Procedural audio synthesis
  effects_engine.py      # Visual effects + motion graphics
  transitions_engine.py  # Clip transitions
  ai_engine.py           # AI features (Whisper, Demucs, Real-ESRGAN)
  remotion_engine.py     # Remotion CLI wrapper
  image_engine.py        # Image color analysis
  quality_guardrails.py  # Automated quality checks

---

Supported Formats

Video	Audio (extraction)	Subtitles
MP4, WebM, MOV, GIF	MP3, AAC, WAV, OGG, FLAC	SRT, WebVTT

---

Agent Discovery

• llms.txt — compact project map for agents
• docs/AI_AGENT_DISCOVERY.md — richer positioning and integration snippets

---

Development

git clone https://github.com/pastorsimon1798/mcp-video.git
cd mcp-video
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

---

Community & Support

• Contributing: CONTRIBUTING.md
• Security: SECURITY.md (private reporting path)
• Help: SUPPORT.md or GitHub Discussions
• Code of Conduct: CODE_OF_CONDUCT.md
• Changelog: CHANGELOG.md
• Roadmap: ROADMAP.md
• Governance: GOVERNANCE.md
• Maintainers: MAINTAINERS.md

Testing

Tests are excluded from the PyPI package. To run locally:

pip install -e ".[dev]"
pytest tests/ -v -m "not slow and not remotion"

See docs/TESTING.md for full test categories and CI details.

License

Apache 2.0 — see LICENSE.

Built on FFmpeg, Remotion, and the Model Context Protocol.

See docs/LEGAL_REVIEW.md for dependency licensing notes.