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)
Developer MCP for PopNow: run any AI image, video and audio model with an API key, billed in USD.
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.
POPNOW_API_KEY, POPNOW_MCP_URL, AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"popnow-api": {
"command": "npx",
"args": [
"-y",
"@popnow/mcp"
],
"env": {
"POPNOW_API_KEY": "your-value",
"POPNOW_MCP_URL": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http popnow-api https://api.popnow.ai/api/v1/mcp --header 'Authorization: your-value'claude mcp add popnow-api --env POPNOW_API_KEY=your-value --env POPNOW_MCP_URL=your-value -- npx -y @popnow/mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"popnow-api": {
"url": "https://api.popnow.ai/api/v1/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"popnow-api": {
"command": "npx",
"args": [
"-y",
"@popnow/mcp"
],
"env": {
"POPNOW_API_KEY": "your-value",
"POPNOW_MCP_URL": "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": {
"popnow-api": {
"type": "http",
"url": "https://api.popnow.ai/api/v1/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"popnow-api": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@popnow/mcp"
],
"env": {
"POPNOW_API_KEY": "your-value",
"POPNOW_MCP_URL": "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.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
POPNOW_MCP_URL envAuthorization secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
El servidor pide iniciar sesión antes de mostrar sus herramientas.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub popnow-ai, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 231 ms (HTTP 401)
Declara inicio de sesión con OAuth, así que tu app de IA puede llevarte a iniciar sesión
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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 3 de 3 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.
Debes completar: POPNOW_API_KEY, Authorization
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro hace 5 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
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:↓ Descargas por semanai★ 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.
PopNow Developer MCP Server: call any AI image, video and audio model from Claude Code, Cursor, Codex and your own code
The PopNow Developer MCP Server is a hosted Model Context Protocol server at `https://api.popnow.ai/api/v1/mcp` for developers. Add it to Claude Code, Cursor, Codex, VS Code or your own MCP client with a PopNow API key, and your agent can create images, videos, music and voiceovers, run any model by its API ID, follow tasks and install agent skills over one connection.
There is nothing to host. Every paid call is quoted in USD first and charged to your API balance only after you approve it. The key's model allow-list, IP allow-list and spend caps apply exactly as on the PopNow REST API.
This repository contains the setup guide, copy-paste client configs in examples/, an MCP registry manifest, and @popnow/mcp, a small stdio bridge for clients that only start local servers.
Want PopNow inside the ChatGPT or Claude apps with your PopNow account and website credits? Use popnow-mcp and popnow.ai/mcp instead.
@popnow/mcp)| Endpoint | https://api.popnow.ai/api/v1/mcp |
| Transport | Streamable HTTP, stateless (POST; GET and DELETE return 405) |
| Authentication | Authorization: Bearer sk-popnow-... with a key from the API console. There is no OAuth sign-in on this endpoint |
| Billing | USD from your API balance. Every paid call returns a quote first and runs only with max_usd |
| Key rules | The key's model allow-list, IP allow-list and daily, monthly and lifetime spend caps |
| Tools | Media tools, create_task for any model ID, tasks, balance, saved recipes and agent skills (full list) |
| Server name | popnow-api |
POPNOW_API_KEY, so it stays out of files you commit: export POPNOW_API_KEY="sk-popnow-..."
claude mcp add --transport http popnow-api https://api.popnow.ai/api/v1/mcp \
--header "Authorization: Bearer $POPNOW_API_KEY"
4. **Ask for something.** Ask your agent for an image, a clip or a soundtrack. It picks a PopNow tool, shows you the USD price and runs it once you approve.
Every client below talks to the same remote server with an API key. Ready-made files are in examples/.
claude mcp add --transport http popnow-api https://api.popnow.ai/api/v1/mcp \
--header "Authorization: Bearer $POPNOW_API_KEY"
Your shell fills in $POPNOW_API_KEY when you run the command, and Claude Code stores the header in your local MCP settings. To share the server with a team through a project's .mcp.json, use the generic config instead: Claude Code expands ${POPNOW_API_KEY} from each person's environment.
Add PopNow to .cursor/mcp.json in your project, or to ~/.cursor/mcp.json for every project (examples/cursor.mcp.json):
{
"mcpServers": { "popnow-api": { "url": "https://api.popnow.ai/api/v1/mcp", "headers": { "Authorization": "Bearer ${env:POPNOW_API_KEY}" } } } }
VS Code names the top-level key servers. This config asks for the key once and stores it securely (examples/vscode.mcp.json):
{
"inputs": [ { "type": "promptString", "id": "popnow-api-key", "description": "PopNow API key (sk-popnow-...)", "password": true } ], "servers": { "popnow-api": { "type": "http", "url": "https://api.popnow.ai/api/v1/mcp", "headers": { "Authorization": "Bearer ${input:popnow-api-key}" } } } }
Remote servers use serverUrl in ~/.codeium/windsurf/mcp_config.json (examples/windsurf.mcp_config.json). Press Refresh in the MCP panel after saving.
{
"mcpServers": { "popnow-api": { "serverUrl": "https://api.popnow.ai/api/v1/mcp", "headers": { "Authorization": "Bearer ${env:POPNOW_API_KEY}" } } } }
Edit ~/.codex/config.toml (examples/codex.config.toml); bearer_token_env_var reads the key from your environment:
[mcp_servers.popnow-api]
url = "https://api.popnow.ai/api/v1/mcp" bearer_token_env_var = "POPNOW_API_KEY"
Open MCP Servers → Configure and add PopNow to cline_mcp_settings.json. Set type to streamableHttp explicitly; without it Cline falls back to the legacy SSE transport (examples/cline_mcp_settings.json):
{
"mcpServers": { "popnow-api": { "type": "streamableHttp", "url": "https://api.popnow.ai/api/v1/mcp", "headers": { "Authorization": "Bearer sk-popnow-..." }, "disabled": false, "autoApprove": [] } } }
Clients that can only start local stdio servers can run the @popnow/mcp bridge with npx. From version 0.2.0 it connects to the developer endpoint by default. In Claude Desktop, edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json) and restart the app (examples/claude-desktop.json):
{
"mcpServers": { "popnow-api": { "command": "npx", "args": ["-y", "@popnow/mcp"], "env": { "POPNOW_API_KEY": "sk-popnow-..." } } } }
The bridge needs Node.js 18 or newer.
Most clients that support remote MCP servers accept this shape. It is also the format of a Claude Code project .mcp.json (examples/generic.json). Check how your client reads environment variables before you paste a key into a file that is committed anywhere.
{
"mcpServers": { "popnow-api": { "type": "http", "url": "https://api.popnow.ai/api/v1/mcp", "headers": { "Authorization": "Bearer ${POPNOW_API_KEY}" } } } }
With the official Python SDK (pip install mcp):
import asyncio, os
from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client
async def main(): headers = {"Authorization": f"Bearer {os.environ['POPNOW_API_KEY']}"} async with streamablehttp_client("https://api.popnow.ai/api/v1/mcp", headers=headers) as (read, write, _): async with ClientSession(read, write) as session: await session.initialize() result = await session.call_tool("check_balance", {}) for part in result.content: print(part.type, getattr(part, "text", ""))
asyncio.run(main())
With the official TypeScript SDK (npm install @modelcontextprotocol/sdk):
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';
const transport = new StreamableHTTPClientTransport(new URL('https://api.popnow.ai/api/v1/mcp'), { requestInit: { headers: { Authorization: Bearer ${process.env.POPNOW_API_KEY} } }, }); const client = new Client({ name: 'my-app', version: '1.0.0' }); await client.connect(transport);
const result = await client.callTool({ name: 'check_balance', arguments: {} }); console.log(result.content[0].text); await client.close();
Or with nothing but curl. The server is stateless, so every request stands alone; send both media types in Accept. This call asks for a quote and charges nothing:
curl -X POST "https://api.popnow.ai/api/v1/mcp" \
-H "Authorization: Bearer $POPNOW_API_KEY" \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "create_task", "arguments": {"model": "google/nano-banana-2.1/text-to-image", "input": {"prompt": "A paper boat on a rainy window sill, soft morning light", "aspect_ratio": "4:5"}}}}'
For production code that calls models directly, the REST API gives you more control: webhooks, idempotency keys and per-task retention. SDKs: Python · JavaScript / TypeScript · Go · Java · PHP.
Typical prices are for the default model and settings, in USD. Every paid tool quotes the exact amount before it runs. The full parameter reference is in the developer MCP docs.
| Tool | What it does | Default | Typical price |
|---|---|---|---|
create_image | A new picture from a description | Nano Banana 2.1, 1K, square | about $0.048 |
edit_image | Change a photo with words: style, outfit, background, add or remove things | Nano Banana 2.1 | about $0.048 |
create_video | A short video from a description, or a photo brought to life | MiniMax H3, 768p, 5 seconds | about $0.185 |
create_music | An original song or instrumental | Suno v6 | about $0.072 |
create_speech | Text read aloud in many voices and languages | Gemini 3.8 Flash TTS, voice Kore | a fraction of a cent, by length |
apply_effect | Turn a photo into an effect video or a photo makeover | The effect's own model | $0.125 to $0.34 for video, $0.03 to $0.05 for photos |
remove_background | Cut out the subject as a transparent PNG | Background Remover | $0.0048 |
| `
Solo se muestra el principio; lee el resto en el repo