FFmpeg MCP Server

Name: FFmpeg MCP Server
Author: Ashutos1997

作者：Ashutos1997版本 0.6.0i★ –i在你的电脑上运行

注册名称io.github.Ashutos1997/ffmpeg-mcp-server

安装

概览

作者提供的说明（英文原文）

FFmpeg & FFprobe media processing toolkit for video, audio, and social formats

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "ffmpeg": {
      "command": "npx",
      "args": [
        "-y",
        "@ash_j1997/ffmpeg-mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add ffmpeg -- npx -y @ash_j1997/ffmpeg-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ffmpeg": {
      "command": "npx",
      "args": [
        "-y",
        "@ash_j1997/ffmpeg-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ffmpeg": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ash_j1997/ffmpeg-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 Ashutos1997 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2199 个服务器的 0%
发布到注册中心的时间比此分类中其他 2199 个服务器的 94% 更新
基础检查结果等于或优于此分类中其他 2199 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

FFmpeg MCP Server 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.6.0）于前天进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ffmpeg-mcp-server

English | 한국어

A Model Context Protocol (MCP) server that gives AI tools access to FFmpeg and FFprobe to process video and audio locally.

Supports cross-platform GPU hardware encoding (Apple Silicon, NVIDIA NVENC, Intel QuickSync, AMD AMF), live progress updates via MCP progress tokens, instant cancellation via AbortSignal, and inlines image previews directly for multimodal vision models.

Why This Exists

When AI agents process media, they often hallucinate invalid flags, syntax errors, or incompatible pixel formats.

This server provides 19 typed tools using Zod schemas. The AI passes parameters (such as { inputPath: "video.mov", preset: "web_mp4" }), and the server runs the valid FFmpeg command locally with proper error handling, hardware acceleration, and progress notifications.

Key Features

Universal Hardware Acceleration: Automatically detects and leverages hardware encoders across macOS (VideoToolbox), Linux/Windows GPUs (NVIDIA NVENC, Intel QuickSync, AMD AMF, and VA-API) for 5x–20x faster exports with low CPU usage.
Real-time Progress Reporting: Emits live percentage updates via standard MCP progress tokens (notifications/progress), enabling progress bars in modern AI clients.
Instant Cancellation: Listens to client AbortSignal events to immediately terminate child FFmpeg processes when a generation is stopped.
Multimodal Vision Previews: Inlines base64 image data for thumbnails, audio waveforms, and multi-frame contact sheets so vision models (Claude 3.7, GPT-4o, Gemini) can "see" media content.
Social Formats & Automation: Reformats landscape video to 9:16 vertical video with blurred backgrounds, burns customizable hardcoded subtitles, and stacks top/bottom split-screen reels for TikTok and Instagram Reels.
Audio Engineering: Normalizes loudness to broadcast/streaming standards (EBU R128 / -16 LUFS), cleans vocal audio with 80Hz rumble removal, and trims dead air while preserving lip-sync.
Scene Intelligence & Multiplexing: Detects visual scene changes and cut points for smart editing workflows, and combines or replaces video/audio tracks with zero-loss stream copy.

Included Tools (19 Total)

Tool	Description	Key Parameters
`media_probe`	Inspects media files with ffprobe. Returns metadata, streams, codecs, resolution, and duration as JSON.	`inputPath`
`media_convert`	Converts video and audio formats. Includes presets for web MP4, WebM, and animated GIF with GPU acceleration.	`inputPath`, `outputPath`, `preset`, `crf`, `resolution`, `fps`, `hardwareAcceleration`
`trim_media`	Cuts a segment from a video or audio file using stream copy or re-encoding.	`inputPath`, `outputPath`, `startTime`, `endTime`, `duration`, `accurateReencode`
`extract_audio`	Rips audio tracks from video. Includes a 16kHz mono WAV preset for Whisper speech recognition.	`inputPath`, `outputPath`, `format`, `bitrate`
`extract_thumbnail`	Captures a still image at a timestamp or midpoint. Returns base64 image data for vision models.	`inputPath`, `outputPath`, `timestamp`, `resolution`, `includeBase64`
`compress_video`	Compresses video to fit target sizes (such as GitHub PRs under 10MB or Discord under 25MB).	`inputPath`, `outputPath`, `targetSizeMB`, `preset`, `crf`, `maxWidth`, `hardwareAcceleration`
`reformat_aspect_ratio`	Changes video ratio to 9:16 vertical, 1:1 square, or 4:5 portrait with blurred borders or center crop.	`inputPath`, `outputPath`, `targetRatio`, `mode`, `blurAmount`, `padColor`, `hardwareAcceleration`
`create_split_screen`	Stacks two videos top-and-bottom (9:16 Reels/TikTok) or side-by-side with audio mixing and subtitles.	`firstVideoPath`, `secondVideoPath`, `outputPath`, `layout`, `audioSource`, `subtitlesPath`
`trim_silence`	Detects and removes silent pauses from recordings while preserving video & audio lip-sync.	`inputPath`, `outputPath`, `mode`, `thresholdDb`, `minDurationSeconds`
`concat_media`	Joins multiple video or audio files in order using stream copy or re-encoding.	`inputPaths`, `outputPath`, `mode`
`generate_waveform`	Generates a PNG waveform image. Returns base64 image data for vision models.	`inputPath`, `outputPath`, `width`, `height`, `color`, `scale`, `includeBase64`
`add_subtitles`	Embeds SRT or VTT subtitle tracks into MP4/MKV video files without re-encoding video.	`videoPath`, `subtitlesPath`, `outputPath`, `language`, `title`
`burn_subtitles`	Hardcodes subtitles directly onto video frames with customizable font size, colors, and margins.	`videoPath`, `subtitlesPath`, `outputPath`, `fontSize`, `fontColor`, `outlineColor`, `marginV`
`extract_keyframes`	Extracts multiple representative frames across the video and generates a contact sheet grid for vision AI.	`inputPath`, `outputPath`, `count`, `layout`, `includeBase64`
`normalize_audio`	Normalizes audio loudness using EBU R128 (default -16 LUFS) with optional speech clarity high-pass filter.	`inputPath`, `outputPath`, `targetLufs`, `targetPeakDb`, `voiceClarity`
`add_overlay`	Places a watermark image or logo PNG over video with customizable corner position, scale, and opacity.	`videoPath`, `overlayPath`, `outputPath`, `position`, `padding`, `scaleWidth`, `opacity`
`change_speed`	Adjusts playback speed (such as 2x fast forward or 0.5x slow motion) with pitch correction.	`inputPath`, `outputPath`, `speed`, `muteAudio`
`mux_media` (New)	Combines or replaces video and audio streams with optional audio offset delay and zero-loss stream copy.	`videoPath`, `audioPath`, `outputPath`, `mode`, `audioOffsetSeconds`, `streamCopyVideo`, `shortest`
`detect_scenes` (New)	Detects video cut points and scene transitions with adjustable sensitivity. Returns timestamps, scene durations, and an optional contact sheet.	`inputPath`, `threshold`, `minDurationSeconds`, `outputPath`, `includeBase64`

MCP Resources & Prompts

Resources

`media://capabilities`: Inspects local FFmpeg installation, active version, detected hardware accelerators (VideoToolbox, NVENC, QSV, AMF, VAAPI), and supported video encoders.
`media://presets`: Standard reference table of social aspect ratios, platform upload file size limits, and broadcast audio loudness targets.

Prompts

`social_clip_generator`: Interactive workflow that turns raw landscape video into vertical shorts with blurred background padding, trimmed silence, and hardcoded captions.
`whisper_audio_prep`: Standard pipeline for extracting 16kHz mono WAV audio and normalizing loudness for speech-to-text models.

Requirements

Node.js >= 18.0.0
FFmpeg & FFprobe installed locally:
macOS: brew install ffmpeg
Linux (Ubuntu/Debian): sudo apt update && sudo apt install ffmpeg libass-dev
Windows: winget install Gyan.FFmpeg or choco install ffmpeg

Installation

Quick Start (Claude Desktop, Cursor, Antigravity)

Run directly with npx (no manual cloning or building required):

"mcpServers": { "ffmpeg": { "command": "npx", "args": ["-y", "@ash_j1997/ffmpeg-mcp-server"] } } }

Configuration File Locations:

Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
Antigravity IDE: ~/.gemini/config/mcp_config.json
Cursor / Windsurf: Add as a stdio server with command npx and args ["-y", "@ash_j1997/ffmpeg-mcp-server"]

Local Development & Testing

Install dependencies:

   npm install

Run build and automated test suite:

   npm test

Acknowledgements & Community

Special thanks to @rajarshidattapy for suggesting the stream multiplexing (mux_media) and scene transition detection (detect_scenes) capabilities to expand the server beyond format conversion.