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 Grok image generation and editing
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.
El creador no incluyó detalles de instalación en el registro. Consulta el README del creador más abajo.
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 codeChap, 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 (0.1.0) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code.
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.
An MCP (Model Context Protocol) server for xAI's Grok image generation API. Built in Rust, exposes image generation and editing as MCP tools.
Communicates via stdio using JSON-RPC 2.0, like all MCP servers.
| Tool | Description |
|---|---|
generate_image | Generate an image from a text prompt |
edit_image | Edit an existing image using natural language instructions |
headshot | Corporate headshot from a source portrait (pad to 3:2 + fixed edit prompt) |
list_styles | List available image styles for use with generate_image |
Generate an image from a text description.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
prompt | string | yes | Text description of the desired image |
model | string | no | Model to use (default: grok-imagine-image-2.0) |
n | integer | no | Number of images to generate (1-10, default 1) |
aspect_ratio | string | no | Aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9, 5:2, auto |
resolution | string | no | Output resolution: 1k (~1024px, default) or 2k (~2048px) |
quality | string | no | low, medium, or auto (2.0 only; omitted = auto. Auto currently serves low for generation) |
response_format | string | no | Output format: url (default, temporary) or b64_json |
style | string | no | Style name to apply (use list_styles to see options) |
When a style is set, the prompt is wrapped in the style's template. For example, with style: "watercolor" and prompt: "a cat on a roof", the API receives "a cat on a roof, as a watercolor painting". Avoid including style language in the prompt itself when using this parameter.
The response includes the resolved prompt so you can see exactly what was sent to the API.
Edit an existing image using natural language instructions.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
image_url | string | no* | URL, base64 data URI, or local file path of the source image. Mutually exclusive with images. |
images | string[] | no* | Up to 5 source images for multi-image editing. Reference them in the prompt as , , … |
prompt | string | yes | Natural language edit instructions |
model | string | no | Model to use (default: grok-imagine-image-2.0) |
n | integer | no | Number of variations to generate (1-10, default 1) |
aspect_ratio | string | no | Same set as generate_image, including 21:9 and 5:2 |
resolution | string | no | Output resolution: 1k (~1024px, default) or 2k (~2048px) |
quality | string | no | low, medium, or auto (2.0 only; omitted = auto. Auto currently serves medium for editing) |
response_format | string | no | Output format: url (default, temporary) or b64_json |
\* Provide either image_url or images.
Note: The style parameter is intentionally not available on edit_image -- edit prompts are instructions (e.g. "remove the background"), not descriptions, so wrapping them in style templates would produce nonsense.
Expand-only portrait fix (Gemini pipeline equivalent on Imagine). Does not reframe pose, cut out hair, or redesign the person.
No cutout / no rembg / no transparent alpha — same job as the original Gemini headshot skill.
Parameters:
| Name | Type | Required | Description |
|---|---|---|---|
image | string | yes | Local path, http(s) URL, or data: URI |
clothing | string | no | For missing-shoulder fill only |
notes | string | no | Must-preserve details (glasses, exact logo text, …) |
pronoun | string | no | his / her / their (default their) |
gravity | string | no | Letterbox gravity (North default) |
content_width | integer | no | Resize width before pad (default 550) |
canvas_width | integer | no | Padded width (default 780) |
resolution | string | no | 1k or 2k (default 2k) |
output_path | string | no | Optional final path (also under save_dir) |
n | integer | no | Variations (1–10, default 1) |
quality | string | no | low / medium / auto (default `medium`) |
model | string | no | Default `grok-imagine-image-2.0` |
Padded intermediate: save_dir/headshot-padded_*.jpg.
Returns all available image styles with their name, description, and prompt template. No parameters.
| Style | Description |
|---|---|
watercolor | Watercolor painting style |
oil-painting | Oil painting with visible brushstrokes |
pencil-sketch | Detailed pencil sketch |
pixel-art | Retro pixel art |
anime | Anime style illustration |
pop-art | Bold pop art style |
art-nouveau | Art nouveau with flowing organic lines |
cinematic | Cinematic photography with dramatic lighting |
portrait | Professional portrait photography |
macro | Extreme macro photography |
aerial | Aerial drone photography |
studio | Studio photography on clean background |
noir | Dark film noir style |
vintage | Faded vintage photograph |
| Model | Notes |
|---|---|
grok-imagine-image-2.0 (default) | Optional quality (low / medium / auto), up to 5 edit references, 21:9 and 5:2. Auto currently serves low for generation and medium for editing. |
grok-imagine-image | 1.0. Still available; no quality param. |
grok-imagine-image-quality | Retires 2026-11-02. After that the slug is served by grok-imagine-image-2.0 at quality: low ($0.01 less per image than the quality model). |
Create the config file:
mkdir -p ~/.config/mcp-server-grok-image
Create ~/.config/mcp-server-grok-image/config.toml:
api_key = "xai-..."
Add custom styles to your config file. Custom styles with the same name as a built-in will override it.
api_key = "xai-..."
[[styles]] name = "my-style" description = "My custom look" template = "{prompt}, in my custom style"
[[styles]] name = "watercolor" description = "My watercolor variant" template = "{prompt}, as a loose expressive watercolor with ink outlines"
Templates must contain the {prompt} placeholder. Any custom style missing it will be skipped with a warning at startup.
cargo build --release
This produces target/release/mcp-server-grok-image.
For development:
cargo build # debug build
cargo run # run in dev mode RUST_LOG=debug cargo run # run with debug logging
Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json):
{
"mcpServers": { "grok-image": { "command": "/path/to/mcp-server-grok-image" } } }
src/
main.rs process entry (stdio MCP) config.rs TOML / env config styles.rs built-in + custom styles grok.rs xAI request/response types params.rs MCP tool params + validation image_io.rs data URIs, local files, mime, fetch headshot.rs letterbox pad + expand prompt server.rs MCP tools and Grok HTTP
MIT