Skip to main content

MCP server for converting video to high-quality GIF using FFmpeg

Project description

Video to GIF Converter MCP

基于 MCP (Model Context Protocol) 的视频转 GIF 服务器,使用 FFmpeg 两遍调色板优化法生成高质量 GIF。

功能特性

  • 两遍调色板优化: palettegen/paletteuse 两遍法,生成高质量 GIF
  • 帧率控制: 自定义 GIF 帧率
  • 尺寸调整: 支持宽度/高度设置,保持或不保持宽高比
  • 时间裁剪: 指定起始时间
  • 区域裁剪: 指定裁剪区域 (x, y, w, h)
  • 调色算法: 支持 floyd_steinberg、bayer、sierra2_4a 等
  • 颜色数控制: 2-256 色调色板
  • 循环设置: 无限循环或指定次数

安装

通过 uvx 安装(推荐):

uvx mcpcn-video-to-gif

或通过 pip 安装:

pip install mcpcn-video-to-gif

使用方法

启动 MCP 服务器:

mcpcn-video-to-gif

系统要求

  • Python >= 3.12
  • FFmpeg(需要系统安装)

环境变量

  • FFMPEG_BINARY: 指定 FFmpeg 可执行文件路径
  • FFPROBE_BINARY: 指定 FFprobe 可执行文件路径

工具说明

convert_video_to_gif

将视频片段高质量导出为 GIF。

参数:

参数 类型 必填 默认值 说明
video_path string - 输入视频路径
output_gif_path string - 输出 GIF 路径(需以 .gif 结尾)
fps int 8 GIF 帧率,建议 8~20
width int None 目标宽度
height int None 目标高度
keep_aspect bool True 是否保持纵横比
start_time string/float None 起始时间(秒或 'HH:MM:SS')
dither string "floyd_steinberg" 调色算法
max_colors int 256 调色板颜色数 (2-256)
loop int 0 循环次数(0=无限循环)
crop dict None 裁剪参数 {"x":0,"y":0,"w":320,"h":240}
scale_flags string "lanczos" 缩放插值算法
bayer_scale int 3 bayer 调色的缩放因子 (0-5)
palette_stats_mode string "diff" 调色板统计模式
use_reserve_transparent bool False 是否保留透明色槽
alpha_threshold int 128 透明度阈值 (0-255)

支持的调色算法 (dither):

算法 说明
none 不使用抖动
bayer Bayer 有序抖动
floyd_steinberg Floyd-Steinberg 误差扩散 (默认)
sierra2_4a Sierra-2-4A 抖动
burkes Burkes 抖动

调色板统计模式 (palette_stats_mode):

模式 说明
single 单帧统计
diff 差异帧统计 (默认,适合动画)
full 全帧统计

使用示例

# 基本转换
convert_video_to_gif(
    video_path="/path/to/video.mp4",
    output_gif_path="/path/to/output.gif"
)

# 高质量设置
convert_video_to_gif(
    video_path="/path/to/video.mp4",
    output_gif_path="/path/to/output.gif",
    fps=15,
    width=480,
    max_colors=256,
    dither="floyd_steinberg"
)

# 裁剪区域
convert_video_to_gif(
    video_path="/path/to/video.mp4",
    output_gif_path="/path/to/output.gif",
    crop={"x": 100, "y": 50, "w": 320, "h": 240},
    start_time="00:00:05"
)

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcpcn_video_to_gif-0.1.3.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcpcn_video_to_gif-0.1.3-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file mcpcn_video_to_gif-0.1.3.tar.gz.

File metadata

  • Download URL: mcpcn_video_to_gif-0.1.3.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for mcpcn_video_to_gif-0.1.3.tar.gz
Algorithm Hash digest
SHA256 bf06b9ccfe1747429b0ed152aec3d2345aeefe85e471f2fa4f574b28636a6143
MD5 78a3355020c3b4f22990241c3727702a
BLAKE2b-256 3aa6c65cc82a66414a9ec9a48a84b82dc4f7769162b1b9131085a3933fa38e62

See more details on using hashes here.

File details

Details for the file mcpcn_video_to_gif-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for mcpcn_video_to_gif-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 56abece182640f7c9bdf49e21a55d94b984a7aeca1e637b2149be99813791ded
MD5 4036f1bb408d1fd2d7776ec01e245f80
BLAKE2b-256 023a86cd6e1b6a820ae80b549f6efd7d5892cf5f9819c543dcb195e6eeb4f956

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page