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Podcli MCP Server

@nmbrthirteen

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

nmbrthirteen

投稿者

Nika Siradze

Podcli MCP Server について

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

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

Podcli MCP Server 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 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

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