原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Tourwright

作者:CXmiloxx版本 2.6.1i★ –i在你的电脑上运行
注册名称io.github.CXmiloxx/tourwright

安装

概览

作者提供的说明(英文原文)

Turn a script into a narrated product tour video: real browser, captions, voice, MP4.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频
  • 你需要填写:TOURWRIGHT_API_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: TOURWRIGHT_API_URL, TOURWRIGHT_API_TOKEN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "tourwright": {
      "command": "npx",
      "args": [
        "-y",
        "tourwright",
        "mcp"
      ],
      "env": {
        "TOURWRIGHT_API_URL": "your-value",
        "TOURWRIGHT_API_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add tourwright --env TOURWRIGHT_API_URL=your-value --env TOURWRIGHT_API_TOKEN=your-value -- npx -y tourwright mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "tourwright": {
      "command": "npx",
      "args": [
        "-y",
        "tourwright",
        "mcp"
      ],
      "env": {
        "TOURWRIGHT_API_URL": "your-value",
        "TOURWRIGHT_API_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "tourwright": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tourwright",
        "mcp"
      ],
      "env": {
        "TOURWRIGHT_API_URL": "your-value",
        "TOURWRIGHT_API_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • TOURWRIGHT_API_URL env
    Send jobs to a Tourwright API instead of rendering on this machine
  • TOURWRIGHT_API_TOKEN 机密 env
    Token for TOURWRIGHT_API_URL

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 CXmiloxx 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2204 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2204 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 2204 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Tourwright 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:TOURWRIGHT_API_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.6.1)于今天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Narrated product tours and how-to videos, without editing. Click through your app once, or ask your AI agent for the video: Tourwright writes the script, films a real browser in a studio frame, guides the eye to each element, speaks with a natural voice and delivers an .mp4 with captions, chapters and a thumbnail. When the UI changes, you render again. Built for people *and* AI agents, on any server, from a laptop to a cluster.

*Leer en español*

Made by Tourwright from examples/app.yaml , with nobody at the keyboard. ▶ Watch it with sound (77 s)

# tour.yaml

title: Your first invoice voice: lessac baseUrl: https://app.example.com steps:

  • goto: /invoices/new
  • title: { text: Your first invoice, subtitle: Step by step }
  • say: Pick the customer first.
  • click: { role: combobox, name: Customer }
  • say: Then save. That's it.
  • click: { role: button, name: Save }
tourwright render tour.yaml        # → videos/tour/tour.mp4 (+ captions.srt/.vtt, .jpg, .json)

Why Tourwright

Screen recorders (Loom) and click-through demo tools (Arcade, Supademo, Scribe) need a person to record, and every redesign means recording again. Tourwright videos are code:

Screen recorderDemo SaaSTourwright
Re-record after a UI changeby handby handtourwright render
Knows when a video went stalenonotourwright check in CI names the broken step and the fix
Narrationyour voice, retakesnone or extratext-to-speech in many voices, offline or online
Same tour for 50 customers or languages50 recordings50 demosone script with {{variables}}
Personal data on screenedit it outedit it outmask replaces it with invented data
Lives ina vendor's clouda vendor's cloudyour git repo, your servers; MIT
AI agents can make onenonoMCP server and a Claude Code plugin

What you get

  • Browser walkthroughs: real Chromium, a smooth animated cursor, click ripples, highlights, spotlights, callout bubbles, camera zoom, drag and drop, blurred personal data, title cards and captions in your colors and logo.
  • Guided focus: the tour an app shows the first time you open it. Everything dims but the element, a ring marks it, a bubble with a 2/4 badge explains it and the camera pushes in, right on the word the voice is saying.
  • Narrated slides: title cards, images (with slow pan/zoom), HTML, crossfades. No website needed.
  • Voices, your choice: Pocket TTS (offline, open, natural: tourwright install --pocket), Piper (offline, open source, light), Microsoft Edge neural voices, any OpenAI-compatible TTS server (OpenAI, Kokoro, LocalAI…), or your own command. Every sentence is cached: re-rendering never re-synthesizes.
  • A cast, and how each line is said: several voices per video, speed, pitch and volume per line on any engine, exact pauses ([[1s]]), a pronunciation dictionary, sound presets (warm, radio, podcast…), click, typing and other sound effects, music with fades.
  • Scripts that scale with you: variables ({{name}}, also from the CLI or the API), reusable blocks, repeats, conditions and steps that may fail. One script, many videos.
  • Plugins: new actions, TTS engines and voices as small modules (docs/PLUGINS.md).
  • Tight edits, automatically: page loads, slow waits and voice synthesis are cut out; narration never overlaps; background music ducks under the voice.
  • Deliverables: H.264/AAC .mp4 with chapters and the captions drawn on it, .srt, .vtt, thumbnail and a JSON manifest (duration, chapters, captions) for automation.
  • Four ways in: CLI, HTTP API with job queue and webhooks, MCP server for AI agents, Node library.
  • Scales out: stateless API replicas, any number of workers on any number of servers, Redis/BullMQ queue, S3-compatible storage. Or a single process with a folder, on a Raspberry Pi.

Install

Docker (recommended)
docker run --rm -v "$PWD:/work" -w /work ghcr.io/cxmiloxx/tourwright render examples/slides.yaml --out videos/

A full service (API + 2 workers + Redis):

cp .env.example .env    # set TOURWRIGHT_API_TOKENS

docker compose up -d --build docker compose up -d --scale worker=6

From npm (quickest to try)

Node.js 22+, on Linux, macOS or Windows:

npm install -g tourwright

tourwright install # ffmpeg, Piper + voices, edge-tts, Chromium (no root) tourwright install --plan # only show what it would use from this PC and what it would download tourwright config set quality fullhd # your own defaults: quality, voice, fps… (tourwright config lists them) tourwright record https://app.example.com --out tour.yaml # do the tour by hand: you get the script and the video tourwright guide tour.yaml --open # the same tour as a step-by-step guide with screenshots (HTML, PDF, Markdown) tourwright narrate tour.yaml --write # your AI (Claude, OpenAI, Ollama) rewrites the narration from the screens tourwright translate tour.yaml --to en # the same video in English (or pt, fr, de, it): tour.en.yaml tourwright check videos/*.yaml # which videos broke after a deploy, at which step, and the fix tourwright fix tour.yaml --write # puts the new targets in the script tourwright render tour.yaml --step 7 # film one step with its voice, without the whole video tourwright install --pocket # + Pocket TTS: natural offline voices (about 1 GB) tourwright clean # what each part takes on disk; removes downloads and leftovers tourwright doctor # what works on this machine

Without installing anything globally: npx tourwright . With pnpm: pnpm add -g tourwright (on 2.0.0, add --no-optional).

The Redis queue and Claude for narrate are optional: install bullmq ioredis or @anthropic-ai/sdk next to Tourwright when you use them (npm install -g bullmq ioredis). The Docker image already has them.

Without Docker (Linux, macOS, Windows)

Node.js 22+. tourwright install puts ffmpeg, Piper, voices, edge-tts and Chromium in TOURWRIGHT_HOME, with no root or admin rights; what the system already has is kept.

git clone https://github.com/CXmiloxx/tourwright && cd tourwright

./scripts/install.sh # Linux / macOS (Windows: powershell -ExecutionPolicy Bypass -File scripts\install.ps1) node bin/tourwright.js doctor # what works on this machine npm link # optional: the tourwright command

Each piece is looked for on the PC first and only downloaded when it is missing:

Linux (x64, arm64)macOS (Intel, Apple Silicon)Windows 10/11 (x64, ARM)
ChromiumChrome, Edge or Chromium (apt, dnf, pacman, Raspberry Pi OS), else downloadedChrome, Edge or Chromium, else downloadedChrome or Edge, else downloaded
ffmpegPATH, Homebrew, Nix, else downloadedHomebrew, MacPorts, Nix, else brew install ffmpegPATH, winget, scoop, Chocolatey, C:fmpeg, else downloaded
Piper (offline voices)PATH, pip, pipx, conda, else downloadedPATH, pip, pipx, conda, else piper-ttsPATH, pip, pipx, conda, else downloaded
Piper voicesHugging Face cache, TOURWRIGHT_PIPER_VOICE_DIRS, else downloadedsamesame
edge-tts (Microsoft voices)PATH, pip, pipx, conda, else installedsamesame
Python (for edge-tts, Pocket, Whisper)the system's 3.10–3.13, else 3.12 is downloadedsamesame (not the Microsoft Store stub)
Capturescreen with Xvfb (sharpest), else screencastscreencastscreencast

Also reused: a Chromium left by another Playwright or Puppeteer version, and CHROME_PATH, CHROME_BIN or PUPPETEER_EXECUTABLE_PATH. Snap and Flatpak browsers are skipped (their sandbox blocks Playwright). TOURWRIGHT_SYSTEM_BROWSER=0 always uses Playwright's own Chromium. tourwright doctor shows what was found.

Nothing is installed on the system: what is downloaded lives in one folder (TOURWRIGHT_HOME), and the Python packages run in a virtual environment, so yours is never changed. To uninstall, delete that folder.

Xvfb (apt install xvfb, Linux only) gives the sharpest capture; without it Tourwright records headless (screencast), which works everywhere Chromium runs. Clients of the HTTP API or MCP can be on any system.

Use it

From a site to a video, without writing selectors by hand:

tourwright explore https://app.example.com/login --draft app.yaml   # asks for the login, writes the script

tourwright render app.yaml --dry-run # checks every step in seconds tourwright render app.yaml --open # the video, in ./videos/app/

The draft goes through every section of the site with narration taken from its pages; edit it in your words. Credentials are asked for once, never shown and never written in the script (tourwright secret list; tourwright forget deletes them).

tourwright init video.yaml                  # an example script

tourwright validate video.yaml tourwright render video.yaml --dry-run # runs every step fast: tests selectors, no voice/video tourwright render video.yaml --safe # the same, pressing nothing: no real sign-up, payment or SMS tourwright render video.yaml --keep # keeps the recording: tourwright recompose videos/video remakes it without the browser tourwright render video.yaml --quality fullhd --voice salome --out out/ tourwright voices # voices available here tourwright install-voice en_GB-alba-medium # any voice from huggingface.co/rhasspy/piper-voices tourwright say "Hello there" --voice lessac --out hello.wav

The script format, every action and the voices: [docs/SCRIPTS.md](docs/SCRIPTS.md). JSON Schema for editors and agents: schema/script.schema.json.

HTTP API
TOURWRIGHT_API_TOKENS=secret tourwright serve --worker --port 4700

curl -X POST localhost:4700/v1/jobs -H 'authorization: Bearer secret' -H 'content-type: application/json' \ -d '{"script": {"type": "slides", "slides": [{"title": "Hello", "say": "Hello from the API."}]}}' curl localhost:4700/v1/jobs/ -H 'authorization: Bearer secret' # → status, result, download links

Endpoints, assets, webhooks: docs/API.md.

AI agents (MCP)

Claude Code, as a plugin (the MCP server plus a skill that writes, checks and renders the script):

/plugin marketplace add CXmiloxx/tourwright

/plugin install tourwright@tourwright

Any other MCP client (Claude Desktop, Cursor, VS Code…):

{ "mcpServers": { "tourwright": { "command": "tourwright", "args": ["mcp"] } } }

Tools: tourwright_guide, tourwright_voices, tourwright_validate, tourwright_check, `tourwr

只显示了开头部分;其余内容请在仓库中阅读

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