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PopNx MCPMCP servers for people who use AI · explained in plain words

Tourwright

by CXmiloxxversion 2.6.1i★ –iRuns on your computer
Registry nameio.github.CXmiloxx/tourwright

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: TOURWRIGHT_API_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: TOURWRIGHT_API_URL, TOURWRIGHT_API_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CXmiloxx, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2204 servers in this category
  • Published to the registry more recently than 99% of the other 2204 servers in this category
  • Basic checks equal to or better than 100% of the other 2204 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tourwright safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TOURWRIGHT_API_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.6.1) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

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