clipwright-color

MCP tool for video brightness detection and OTIO timeline color annotation generation.

Overview

Measures average luma using the ffmpeg signalstats filter, writes a color correction directive (brightness offset, eq parameters) to timeline-level metadata["clipwright"]["color"].

Performs detection only (OTIO annotation); realization (eq filter application) is done once by clipwright-render (design M3: separation of detection and application).

Brightness derivation:

  • Samples frames at a configurable interval using fps=1/<interval> and signalstats=stat=brng.
  • Computes mean luma (YAVG) across sampled frames.
  • Derives brightness offset as clamp((target_luma - YAVG) / 255.0, -1.0, 1.0).
  • Contrast, saturation, and gamma are left at neutral defaults (1.0 / 1.0 / 1.0); only brightness is auto-derived from the measured luma.

Prerequisites

  • Python 3.11 or later
  • ffmpeg must exist on PATH or full path set in environment variable CLIPWRIGHT_FFMPEG.
export CLIPWRIGHT_FFMPEG=/path/to/ffmpeg
export CLIPWRIGHT_FFPROBE=/path/to/ffprobe

MCP Tool

clipwright_detect_color

Parameters

Name Type Default Description
media string required Input video file path (video stream required)
output string required Output OTIO timeline path (.otio, same directory as media)
options.target_luma float 128.0 Target average luma on the 0-255 scale (default: mid-grey)
options.sample_interval_sec float 1.0 Frame sampling interval in seconds (ffmpeg fps=1/interval, must be > 0)
timeline string | null null Existing OTIO timeline path (if specified, append color directive to it)

Return value

The tool returns a ToolResult envelope:

{
  "ok": true,
  "summary": "Color analysis complete. measured_luma=96.4 ...",
  "data": {
    "measured_luma": 96.4,
    "brightness": 0.123,
    "contrast": 1.0,
    "saturation": 1.0,
    "gamma": 1.0,
    "target_luma": 128.0,
    "sampled_frames": 12
  },
  "artifacts": [{"role": "timeline", "path": "out.otio", "format": "otio"}],
  "warnings": []
}

When measurement is not possible (measured=None, U-1), the color directive is not written but the timeline is still saved and a warning is returned.

Dependencies

Package Purpose
clipwright Shared types, envelope, errors, process.run
mcp[cli] MCP server
pydantic Parameter validation

ffmpeg is invoked as a separate process (via PATH or environment variable) for license independence.

Detection and Render Two-Phase Flow

  1. detect (this tool): ffmpeg -i <media> -vf "fps=1/1,signalstats=stat=brng,metadata=print" -f null - extracts per-frame YAVG and saves the derived eq directive to OTIO annotation.
  2. render (clipwright-render): reads metadata["clipwright"]["color"]["eq"] and applies eq=brightness=...:contrast=...:saturation=...:gamma=... in the ffmpeg filter graph.

Installation and Startup

Within a uv workspace:

uv run --package clipwright-color clipwright-color

Or install directly:

uv add clipwright-color
clipwright-color

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for satoh-y-0323 from gravatar.com satoh-y-0323

Credits

Author: satoh-y-0323

License

MIT

Requires

Python >=3.11

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