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MCP Ffmpeg Tools

@gamhoi

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

gamhoi

提交者

JINKAI CHEN

关于 MCP Ffmpeg Tools

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Ffmpeg Tools 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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