Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Drive Google Flow from an agent: Veo video and Imagen image generation
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
GFLOW_CLI_HOMENecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"gflow-cli": {
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add gflow-cli --env GFLOW_CLI_HOME=your-value -- uvx gflow-cli mcp runCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"gflow-cli": {
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"gflow-cli": {
"type": "stdio",
"command": "uvx",
"args": [
"gflow-cli",
"mcp",
"run"
],
"env": {
"GFLOW_CLI_HOME": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
GFLOW_CLI_HOME envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ffroliva, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.93.0) llegó al registro hoy.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo