Podcli

Name: Podcli
Author: nmbrthirteen

@nmbrthirteen

关于 Podcli

Podcli is an open-source MCP server and CLI that turns long-form podcasts into upload-ready short clips for TikTok, YouTube Shorts, and Reels. It transcribes with Whisper, finds viral moments with Claude or Codex against your show's knowledge base, crops to vertical with face tra

#podcast #video #whisper #transcription #captions #ffmpeg #claude #codex #tiktok #youtube-shorts #content-creation #open-source

基本信息

分类

其他

传输方式

stdio

发布者

nmbrthirteen

提交者

Nika Siradze

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "podcli": {
      "command": "node",
      "args": [
        "/path/to/podcli/dist/index.js"
      ],
      "env": {
        "PYTHON_PATH": "/path/to/podcli/venv/bin/python3"
      }
    }
  }
}

工具

未检测到工具

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 Podcli?

Podcli is an open-source podcast clip generator that turns long-form podcasts into upload-ready TikTok, YouTube Shorts, and Reels. It runs entirely locally, requires no uploads or SaaS, and is MIT licensed. Podcli works as both a CLI tool and an MCP server, designed for use with AI agents such as Claude Code, Claude Desktop, or Codex.

How to use Podcli?

Install by cloning the repository and running ./setup.sh. Requires Node ≥18, Python ≥3.10, and FFmpeg. Use via CLI (./podcli process episode.mp4 --top 8), Web UI (npm run ui), or as an MCP server by adding the provided JSON configuration to Claude Code, Claude Desktop, or Codex. The MCP setup specifies the path to dist/index.js and the Python virtual environment.

Key features of Podcli?

Transcribes with Whisper, providing word-level timestamps and speaker diarization.
Finds viral moments using AI and a knowledge base, scoring candidates on four dimensions.
Crops to 1080×1920 with YuNet face detection and speaker-aware tracking.
Burns in captions in four styles: branded, hormozi, karaoke, subtle.
Exports with hardware encoding (VideoToolbox, NVENC, VAAPI, CPU fallback).
Provides 17 MCP tools for transcript, clips, context, and config