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)
MCP server for Grok image generation and editing
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。
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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 codeChap 验证,该账户拥有此仓库
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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(0.1.0)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
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。
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