经 AI Skill Hub 精选评估,AI播客剪辑工具 获评「推荐使用」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。
AI播客剪辑工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
AI播客剪辑工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/nmbrthirteen/podcli
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"ai------": {
"command": "npx",
"args": ["-y", "podcli"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 AI播客剪辑工具 执行以下任务... Claude: [自动调用 AI播客剪辑工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"ai______": {
"command": "npx",
"args": ["-y", "podcli"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src="public/podcli-logo-transparent.png" height="36" alt="podcli" /> </p>
<p align="center"> <strong>Open-source AI podcast clipper.</strong><br/> Generate vertical clips with face tracking and burned-in captions. CLI, MCP server, and web app. </p>
<p align="center"> <a href="https://podcli.com"><strong>podcli.com</strong></a> · <a href="#quick-start">Quick start</a> · <a href="#mcp-server-claude-integration">MCP</a> · <a href="#features">Features</a> </p>
<p align="center"> <a href="https://github.com/nmbrthirteen/podcli/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0-blue" alt="license: AGPL-3.0" /></a> <a href="https://github.com/nmbrthirteen/podcli/stargazers"><img src="https://img.shields.io/github/stars/nmbrthirteen/podcli?style=social" alt="stars" /></a> </p>
<p align="center"> <a href="https://x.com/nikasiradze_/status/2056061654664708570"> <img src="public/promo.gif" alt="Podcli demo" width="720" /> </a> </p> <p align="center"><sub>▶ <a href="https://x.com/nikasiradze_/status/2056061654664708570">Watch with sound on X</a></sub></p>
./podcli process episode.mp4
One command transcribes, picks the best moments, crops to the face, and burns captions in. Nothing leaves your machine.
---
| Tool | Install |
|---|---|
| **Node.js** >= 18 | [nodejs.org](https://nodejs.org) |
| **Python** >= 3.10 | [python.org](https://python.org) |
| **FFmpeg** | brew install ffmpeg / sudo apt install ffmpeg |
| **Claude Code** (optional) | [docs.anthropic.com](https://docs.anthropic.com/en/docs/claude-code) — needed for PodStack slash commands |
| **Codex** (optional) | [openai.com/codex](https://openai.com/index/introducing-codex/) — alternative AI engine for clip suggestion (auto-detected if Claude is unavailable) |
./setup.sh # full install + launch UI
./setup.sh --install # install only
./setup.sh --ui # launch UI only (skip install)
./setup.sh --mcp # print MCP config for Claude
---
git clone https://github.com/nmbrthirteen/podcli.git
cd podcli
chmod +x setup.sh podcli
./setup.sh
This will:
.podcli/ data directory./podcli process episode.mp4 \ --transcript transcript.txt \ --top 8 \ --caption-style branded \ --crop center \ --logo logo.png ```
Copy .env.example to .env (setup.sh does this automatically):
| Variable | Default | Description |
|---|---|---|
WHISPER_MODEL | base | Whisper model size (tiny, base, small, medium, large) |
WHISPER_DEVICE | auto | cpu, cuda, or auto |
PYTHON_PATH | (venv) | Path to Python binary |
PODCLI_HOME | .podcli/ | Config home (knowledge, presets, assets, settings) |
PODCLI_DATA | data/ | Runtime data (cache, output, working, logs) |
FFMPEG_PATH | ffmpeg | Custom FFmpeg path |
LOG_LEVEL | info | Logging verbosity |
Portable bundles zip your config home (not cache or rendered clips):
podcli config export ~/backups/myshow.zip
podcli config import ~/backups/myshow.zip --home ~/.podcli-myshow --activate
podcli config status
Activate a config root without importing: podcli config use ~/.podcli-myshow (writes .podcli-home in the project).
Open the project in Claude Code and run:
/prep-episode
This runs the PodStack pipeline — a gstack-style workflow that gives you:
/process-transcript — extract and score best moments from any transcript/generate-titles — 8 titles per clip with 6-point verification checklist/generate-descriptions — descriptions + hashtags + SEO keywords/plan-thumbnails — thumbnail text + designer briefs for both formats/review-content — paranoid brand check (banned words, voice, title rules)/prep-episode — full pipeline: transcript → publish-ready package/publish-checklist — pre/post-publish optimization/retro-episode — performance analysis after publishingOpen the project in Claude Code, then use slash commands:
```bash
/prep-episode
podcli is a Model Context Protocol server — Claude can use it as a tool to create clips through conversation.
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": {
"podcli": {
"command": "node",
"args": ["/path/to/podcli/dist/index.js"],
"env": {
"PYTHON_PATH": "/path/to/podcli/venv/bin/python3"
}
}
}
}
Claude Code:
claude mcp add podcli -- node /path/to/podcli/dist/index.js
Run ./setup.sh --mcp to get the exact config with your paths filled in.
自动化播客剪辑工具,人脸跟踪功能强大
该工具使用 AGPL-3.0 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
AI Skill Hub 点评:AI播客剪辑工具 的核心功能完整,质量良好。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | podcli |
| 原始描述 | 开源MCP工具:Open-source AI podcast clipper. Generate vertical clips with face tracking and b。⭐7 · Python |
| Topics | ai-toolsauto-captionscliffmpegpython |
| GitHub | https://github.com/nmbrthirteen/podcli |
| License | AGPL-3.0 |
| 语言 | Python |
收录时间:2026-06-02 · 更新时间:2026-06-02 · License:AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端