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)
MCP server for Pixapi: check live credit pricing and balance, then generate images and video.
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.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://api.pixapi.ai/mcpAbre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http pixapi https://api.pixapi.ai/mcpclaude mcp add pixapi -- npx -y pixapi-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"url": "https://api.pixapi.ai/mcp"
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}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": {
"pixapi": {
"type": "http",
"url": "https://api.pixapi.ai/mcp"
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"pixapi": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
https://api.pixapi.ai/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
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 Pixapi-AI, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
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 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.
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 (0.1.4) llegó al registro hace 2 meses.
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:★ 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.
Use Pixapi image and video generation tools from MCP clients.
https://api.pixapi.ai/mcpConfigure your project automatically (Node.js 22+):
npx -y pixapi-mcp init --client codex
Replace codex with your client, or use --client all for all five:
| Client | --client | Configuration file |
|---|---|---|
| Claude Code | claude-code | .mcp.json |
| Cursor | cursor | .cursor/mcp.json |
| Codex | codex | .codex/config.toml |
| VS Code / GitHub Copilot | vscode | .vscode/mcp.json |
| Gemini CLI | gemini-cli | .gemini/settings.json |
Without --client, the default is Claude Code and Cursor (--client both). Use --project /path/to/project to configure another project.
Reload your MCP client and connect to pixapi. Complete its browser sign-in and authorization prompt the first time. The client saves the OAuth session and refreshes it automatically; no API key or credential editing is required. The client may ask you to sign in again if authorization is revoked or expires. Each client manages its own native OAuth session.
init configures a direct remote HTTP connection by default. If your client has an Add MCP Server interface, you can also enter the endpoint URL there without installing this npm package or Node.js.
Codex requires a trusted project. In VS Code, use MCP: List Servers to start pixapi; in Gemini CLI, use /mcp to inspect it. Complete any client trust or sign-in prompt. init does not change client security policies.
Claude Code:
{"mcpServers":{"pixapi":{"type":"http","url":"https://api.pixapi.ai/mcp"}}}
Cursor uses the same mcpServers entry with url and no type field. VS Code uses servers with type: "http" and url. Gemini CLI uses mcpServers with httpUrl.
Codex:
[mcp_servers.pixapi]
url = "https://api.pixapi.ai/mcp"
Running init updates the pixapi entry and preserves other servers and settings. VS Code JSONC comments are preserved. Codex TOML settings are preserved, but comments and formatting are not. All selected configurations are parsed before writing; a filesystem failure during writes can still leave some files updated. Correct the local issue and rerun init.
For clients that need stdio, configure the bridge explicitly:
npx -y pixapi-mcp init --client cursor --transport stdio
The generated entry runs npx -y pixapi-mcp proxy without credentials. Registry installations of the npm package also start the bridge directly: no separate init command or environment variable is required.
The bridge completes the local MCP handshake immediately. On the first tool request it opens browser authorization, then forwards tools to Pixapi. Subsequent connections reuse the saved session and refresh tokens automatically. For clients with a short tool-discovery timeout, sign in once beforehand:
npx -y pixapi-mcp login
If a client times out during the initial browser sign-in, complete sign-in and reconnect the client. No authorization URL, code, or token is printed to MCP stdout or error output.
OAuth sessions are stored per endpoint in ~/.pixapi/oauth- .json. On macOS and Linux, the directory uses mode 0700 and files use 0600. Writes are atomic; concurrent bridge processes share an authorization lock. PKCE verifiers and callback state are kept only in memory. The callback binds to loopback on the same host as the bridge. For a headless or remote host, prefer the client's native remote OAuth connection.
Existing API key configurations remain compatible. For an explicit API key installation, set PIXAPI_API_KEY when running init; it configures stdio and saves the key privately in ~/.pixapi/mcp-credentials.json. An explicit --transport remote always selects native OAuth, even if that variable is set. The proxy also accepts PIXAPI_API_KEY directly for unattended deployments.
The proxy gives an explicit environment key priority, then a saved OAuth session, then a legacy key file. To migrate an existing bridge to OAuth, run pixapi-mcp login and remove any PIXAPI_API_KEY override from its environment. Keys and tokens never appear in generated project configurations.
This package forwards the live tool list from the remote Pixapi MCP endpoint. After you connect, call tools/list or pixapi_get_pricing_and_balance for the current catalog.
pixapi_get_pricing_and_balanceReturns your current balance and live image/video model pricing. Each catalog row includes a type:
text_to_image, image_to_imagetext_to_video, image_to_videoRows marked mcp_generate_supported=true can be called through the matching generate tool.
pixapi_generate_imageStarts an asynchronous image task and returns a task_id. Use type=text_to_image for a prompt-only request, or type=image_to_image with the image field. The tool accepts the image models in the live catalog, including Gemini, GPT Image, Flux, Seedream, Qwen, and Wan.
This call consumes account credits. It is not idempotent: repeating the same call creates another task and may charge the account again.
pixapi_generate_videoStarts an asynchronous video task and returns a task_id. Use type=text_to_video for a prompt-only request, or type=image_to_video with the image field. Pass seconds and resolution as required by the selected model.
This call consumes account credits and is not idempotent.
pixapi_get_taskRetrieves an image or video task owned by the authenticated account. Poll this tool with the returned task_id until the status is completed or failed. A completed task includes media URLs.
Recommended agent flow:
pixapi_get_pricing_and_balance.mcp_generate_supported=true and check the balance.pixapi_generate_image or pixapi_generate_video once and retain its task_id.pixapi_get_task every few seconds.pixapi-mcp init [--client <name|all|both>] [--project <path>] [--transport <remote|stdio>]
pixapi-mcp login pixapi-mcp proxy pixapi-mcp --help
With no arguments, the package starts the stdio proxy.
pixapi server, and complete project trust and browser sign-in. For stdio, ensure Node.js 22+ and npx are available on the host running the bridge.pixapi-mcp login for the bridge and complete browser authorization.~/.pixapi/.For service documentation, visit Pixapi docs.
This server is published to the official MCP Registry as io.github.Pixapi-AI/pixapi-mcp, with both connection methods declared in server.json: the remote endpoint and the npm package. Both support OAuth without a required API key starting with version 0.1.4.
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Pixapi-AI/pixapi-mcp"
Set matching versions in package.json, package-lock.json, and server.json before pushing the corresponding v* tag. The release workflow installs locked dependencies, runs checks, and validates the Registry manifest before publishing. Manual runs must also select that release tag. A rerun compares existing npm package integrity and Registry metadata and only publishes missing steps; conflicting contents require a new version. Registry authentication uses GitHub OIDC, without a stored Registry token.