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)
Drive Google Flow from an agent: Veo video and Imagen image generation
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。
GFLOW_CLI_HOME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": {
"gflow-cli": {
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add gflow-cli --env GFLOW_CLI_HOME=your-value -- uvx gflow-cli mcp run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": {
"gflow-cli": {
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "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": {
"gflow-cli": {
"type": "stdio",
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "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。
GFLOW_CLI_HOME 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6日
注册名称已通过 GitHub 账户 ffroliva 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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(0.93.0)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 Python (uv)。
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。
Python CLI and MCP server for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.
⚠️ Read this before you install. gflow-cli is alpha and reverse-engineered — not affiliated with Google. It drives a headed browser on *your own* Google Flow session, so treat it as your own account risk: automation is subject to Google's ToS, and endpoints or UI can change without notice. It works with any Google account that has Flow access, and every generation bills against your account's Flow credit allowance. Read the full DISCLAIMER.
🛡️ "Will this get my account flagged?" The honest, specific answer — what the tool does to stay unremarkable (headed real Chrome, randomised interaction timing, paced submissions), what it deliberately does not do (no proxies, no fingerprint spoofing, no pretending it isn't automation), what you can tune, and what we cannot promise — is in docs/ACCOUNT_SAFETY.md.
💳 What failure costs you. Credits are only spent on Veo *video* generation — images and composition ops are free, so most breakage costs nothing. When Flow's UI drifts mid-run, the CLI fails fast and loudly with distinct exit codes (e.g. selector drift = exit 23) instead of resubmitting, and batch items are recorded locally *before* submission so a broken run never silently burns credits on a stale state. See KNOWN_ISSUES for the current risk list.
🌐 Headed browser today. gflow drives Flow through a persistent Playwright Chromium profile, because Google's auth and reCAPTCHA gates require it. The Architecture section shows where you can help.
You have a Google account with Flow access, you have Veo credits, and you run real batch work. gflow-cli gives you:
for p in $(cat prompts.txt); do gflow image t2i "$p"; done. Image batching plus gflow video t2v / i2v / r2v all ship today, and gflow video extend continues an existing clip past Flow's 8s ceiling.gflow character create mints a Flow Character (face and body reference) so the same person appears from one generation to the next.--tool creative-director rewrites a terse prompt into a vivid one (Google's 5-component formula) before generating — on any command. Bring your own with My Tools.gflow auth login, you stay in the shell. No clicking through dialogs. A stale session renews headlessly with gflow auth renew.Same Veo and Imagen models, same quality, same billing against your own Google account, now programmatic.
# 1 · Install (uv recommended; also: pip install gflow-cli)
uv tool install gflow-cli uv tool run --from gflow-cli playwright install chromium # one-time, ~150 MB
gflow update upgrades in place (every command shows a banner when a newer release is out)gflow auth login --browser chrome
gflow auth status gflow credits user # Veo credit balance (opens Flow in the browser; spends nothing)
gflow image t2i "a hot air balloon over Tokyo at sunrise"
gflow video t2v "Slow cinematic push-in on a sunlit forest clearing" --aspect 16:9
gflow character create --project --name "Aria" --face-prompt "..." --body-prompt "..."
Outputs land under $GFLOW_CLI_OUTPUT_DIR, or you can route them to S3, MinIO, or Google Cloud Storage with GFLOW_CLI_STORAGE_URI. The first call takes 30 to 90 seconds while Chromium warms up; later calls reuse the warm session.
Why `--browser chrome`? It is the only strategy that marks the profile as a real-Chrome profile, which is what later generation runs open it with. The default
autopicks it whenever Chrome is installed — see docs/AUTHENTICATION.md.
Installing from a local checkout?
uv tool installignores `uv.lock` and resolves dependencies from thepyproject.tomlranges, so it can hand you a Playwright build this project has never tested. Playwright ships the browser driver, and an untested minor can wedge a generation silently. Carry the locked version explicitly:
`bash
uv tool install --force --with playwright==1.59.0 .
`
Installing from PyPI (
uv tool install gflow-cli) is unaffected — the published range is upper-bounded. Check what you actually have withuv tool run --from gflow-cli python -c "import importlib.metadata as m; print(m.version('playwright'))".
For the full 10-minute walkthrough with troubleshooting and multi-account setup, see [USER_GUIDE: Journey 1](docs/USER_GUIDE.md#journey-1--first-time-setup-10-minutes).
One command in, real Flow output back. Left: gflow image t2i generating a photorealistic scene in your library. Right: a frame-to-frame transform.
A single gflow image t2i "..." --aspect 9:16 --model nano2 call against a logged-in Flow profile. The terminal streams the run's structlog JSON, then lists the written PNG. Chromium drives the Flow editor silently in the background.
Reproduce the recording with scripts/record_demo.ps1 (Windows, OBS, ffmpeg, gifski). More formats, including the side-by-side split-screen: [docs/DEMOS.md](docs/DEMOS.md).
docs/INDEX.md is the master routing layer. Quick links:
| Topic | Read |
|---|---|
| 🎯 Getting started | User Guide · Usage · Configuration |
| Storage & catalog | External Storage · Data Layer |
| 🎭 Characters | Characters, reusable subjects (gflow character) |
| 🤖 Agentic & automation | Instructions (gflow instructions, persistent brief cards) · Movie (gflow movie, multi-scene manifests) · Tools (--tool, prompt rewriting) · MCP server (gflow mcp run / gflow serve) |
| 🔐 Auth & sessions | Authentication · Known issues |
| 📣 Where to install from | Marketplaces (every channel and what each actually delivers) · Container (why the image introspects but cannot generate) |
| 🏗️ Internals | Architecture · Security · Debugging |
| 📦 Releases | Changelog · Roadmap · Release protocol · Project status |
| 🤝 Contributing | Contributing · Development · GitHub workflow |
gflow-cli ships four agent entry points. Pick the one your tool reads first.
| File | Audience | Tools |
|---|---|---|
| AGENTS.md | Universal coding-agent spec | Cursor · Codex · Aider · Antigravity · Jules · Devin · Windsurf · Zed · Warp · opencode · Copilot |
| CLAUDE.md | Claude Code's auto-loaded memory | Claude Code |
| llms.txt | LLM-readable summary (llmstxt.org format) | Paste into ChatGPT, Claude, or Gemini to onboard the model |
skills/gflow-cli/SKILL.md | Claude Code Skill | Symlink into ~/.claude/skills/ |
One step, and you get the gflow-cli and video-production skills plus the MCP server:
/plugin marketplace add ffroliva/gflow-cli
/plugin install gflow@gflow-cli
The plugin ships disabled. Claude Code starts a plugin's MCP servers automatically once a plugin is enabled, with no prompt of its own — and this server drives your own Google account, where Veo video generation bills your credits. So installing it starts nothing, and enabling it is a deliberate act. Images and composition are free; only video spends. For a hard guarantee, register the server yourself with gflow mcp run --no-spend, which never registers the credit-spending tools at all. See docs/MCP.md for the details, including which revision /plugin marketplace add gives you.
Codex users: codex plugin marketplace add . then codex plugin add gflow@gflow-cli.
Onboard any agent in one line. Paste this into your agent of choice:
*"Read AGENTS.md and docs/INDEX.md, then help me with my Flow batch."*
gflow CLI → Provider (interchangeable) → Flow (ui_automation) / Mock (tests) / [planned: Official Veo]
↓ Playwright Chromium (headed — login AND generation, by default) ↓ aisandbox-pa.googleapis.com (Google's private Flow API)
Current transport: ui_automation drives Flow through a persistent Playwright Chromium profile. It is production-st
只显示了开头部分;其余内容请在仓库中阅读