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MCP Ffmpeg Tools

@gamhoi

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

gamhoi

投稿者

JINKAI CHEN

MCP Ffmpeg Tools について

An open-source Python MCP (Model-Command Protocol) server designed to enable Large Language Models (LLMs) to execute FFmpeg commands, receive execution results, and validate commands against FFmpeg source code.

#mcp-ffmpeg#media-processing#llm-tools

MCP Ffmpeg Tools の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-ffmpeg-tools": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH_TO/mcp-ffmpeg-tools",
        "run",
        "ffmpeg-tools"
      ]
    }
  }
}

MCP Ffmpeg Tools のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mcp-ffmpeg-tools?

mcp-ffmpeg-tools is an open-source Python MCP (Model-Command Protocol) server that enables Large Language Models (LLMs) to execute FFmpeg commands, receive execution results, and validate commands against FFmpeg source code for accurate media processing.

How to use mcp-ffmpeg-tools?

Install FFmpeg, then clone the repository, create a virtual environment with uv venv, and install with uv pip install -e .. For Claude Desktop, add the provided JSON configuration specifying the uv command and path. Alternatively, run via Docker with docker pull gamhoi/mcp-ffmpeg-tools:latest and configure the HTTP endpoint.

Key features of mcp-ffmpeg-tools

  • Execute FFmpeg commands through an MCP interface
  • Receive detailed execution results and error messages
  • Validate commands using FFmpeg source code
  • Cross-platform support (Windows, macOS, Linux)
  • Environment management using uv
  • Docker support with HTTP mode and file mounting

Use cases of mcp-ffmpeg-tools

  • Extract all media streams from a video file
  • Overlay two videos with scaling and positioning
  • Inspect media properties using ffprobe
  • Capture screenshots to verify video layout and quality
  • Automate media conversion tasks via LLM assistance

よくある質問

1

What is mcp-ffmpeg-tools for?

It allows LLMs to run FFmpeg commands, get results, and validate commands against FFmpeg source code, enabling automated media processing.

2

What are the prerequisites?

FFmpeg must be installed on your system and accessible in the PATH. Instructions for Windows, macOS, and Linux are provided.

3

How do I install mcp-ffmpeg-tools?

Clone the repository, then run `uv venv` and `uv pip install -e .` in the project directory. The installer verifies FFmpeg and downloads the corresponding source code.

4

Can I use mcp-ffmpeg-tools with Docker?

Yes. Pull the image from Docker Hub (`gamhoi/mcp-ffmpeg-tools:latest`) and run it on port 8000. Mount host directories with `-v` to access local files.

5

How do I configure it with Claude Desktop?

Add a JSON entry to your Claude Desktop settings with `command: "uv"`, arguments pointing to the project directory, and `"run", "ffmpeg-tools"`. For Docker, use `type: "streamableHttp"` and the server URL.

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