Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
TOURWRIGHT_API_URL env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。
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
注册名称已通过 GitHub 账户 CXmiloxx 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:TOURWRIGHT_API_TOKEN
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)。
GitHub 仓库最后更新于–,最新版本(2.6.1)于今天进入注册中心。
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。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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:
tourwright render tour.yaml # → videos/tour/tour.mp4 (+ captions.srt/.vtt, .jpg, .json)
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 recorder | Demo SaaS | Tourwright | |
|---|---|---|---|
| Re-record after a UI change | by hand | by hand | tourwright render |
| Knows when a video went stale | no | no | tourwright check in CI names the broken step and the fix |
| Narration | your voice, retakes | none or extra | text-to-speech in many voices, offline or online |
| Same tour for 50 customers or languages | 50 recordings | 50 demos | one script with {{variables}} |
| Personal data on screen | edit it out | edit it out | mask replaces it with invented data |
| Lives in | a vendor's cloud | a vendor's cloud | your git repo, your servers; MIT |
| AI agents can make one | no | no | MCP server and a Claude Code plugin |
2/4 badge explains it and the camera pushes in, right on the word the voice is saying.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.[[1s]]), a pronunciation dictionary, sound presets (warm, radio, podcast…), click, typing and other sound effects, music with fades.{{name}}, also from the CLI or the API), reusable blocks, repeats, conditions and steps that may fail. One script, many videos..mp4 with chapters and the captions drawn on it, .srt, .vtt, thumbnail and a JSON manifest (duration, chapters, captions) for automation.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
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.
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) | |
|---|---|---|---|
| Chromium | Chrome, Edge or Chromium (apt, dnf, pacman, Raspberry Pi OS), else downloaded | Chrome, Edge or Chromium, else downloaded | Chrome or Edge, else downloaded |
| ffmpeg | PATH, Homebrew, Nix, else downloaded | Homebrew, MacPorts, Nix, else brew install ffmpeg | PATH, winget, scoop, Chocolatey, C:fmpeg, else downloaded |
| Piper (offline voices) | PATH, pip, pipx, conda, else downloaded | PATH, pip, pipx, conda, else piper-tts | PATH, pip, pipx, conda, else downloaded |
| Piper voices | Hugging Face cache, TOURWRIGHT_PIPER_VOICE_DIRS, else downloaded | same | same |
| edge-tts (Microsoft voices) | PATH, pip, pipx, conda, else installed | same | same |
| Python (for edge-tts, Pocket, Whisper) | the system's 3.10–3.13, else 3.12 is downloaded | same | same (not the Microsoft Store stub) |
| Capture | screen with Xvfb (sharpest), else screencast | screencast | screencast |
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.
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.
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.
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