What are the runtime requirements?
Node.js v14+ and FFmpeg installed and accessible from the command line (verify with `ffmpeg -version`).
@sworddut
基本情報
一个基于 Model Context Protocol (MCP) 的 FFmpeg 辅助工具,提供视频处理功能。
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。
Mcp Ffmpeg Helper is a lightweight Model Context Protocol (MCP) server that exposes FFmpeg’s video processing capabilities to AI assistants. It provides tools for common FFmpeg operations such as format conversion, audio extraction, trimming, watermarking, and frame extraction. It is intended for users who want to control FFmpeg through natural language commands in MCP‑compatible applications like Windsurf.
Install Node.js (v14+) and FFmpeg (must be in system PATH). Clone the repository, run npm install and npm run build, then add the server configuration to the MCP config file (e.g., mcp_config.json for Windsurf). Alternatively, use the npm package @sworddut/mcp-ffmpeg-helper with npx without cloning. Once configured, users issue natural language commands such as “请帮我查看…视频信息” to invoke tools.
Node.js v14+ and FFmpeg installed and accessible from the command line (verify with `ffmpeg -version`).
Add to `%APPDATA%/.codeium/windsurf/mcp_config.json`: either a local node script path or `npx @sworddut/mcp-ffmpeg-helper` with command `cmd` and args `["/c", "npx", "@sworddut/mcp-ffmpeg-helper"]`.
All file paths refer to the local filesystem. The server runs locally and uses the system‑installed FFmpeg. Video/audio files are accessed directly by their file paths.
FFmpeg must be correctly installed and added to PATH. Windows paths require backslashes. Permission issues may occur if the application cannot read/write the specified directories.
The server communicates via standard input/output (stdin/stdout), as is standard for MCP servers. No authentication is mentioned.
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