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)
Edit images in one call: resize, convert, compress, crop, metadata, favicons, QR codes, OCR.
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。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://tanod.dev/mcp/images在终端中运行这条命令
claude mcp add --transport http images https://tanod.dev/mcp/images粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"images": {
"url": "https://tanod.dev/mcp/images"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"images": {
"type": "http",
"url": "https://tanod.dev/mcp/images"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://tanod.dev/mcp/images菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
image_resizeimagepeek: Resize an image. For several sizes in one call use image_thumbnail; for a box or ratio use image_crop. Returns the image resized to `width` and/or `height` (or by `scale`) with `fit` inside (default), contain (letterboxed on `background`), cover (centre crop) or fill (
image_convertimagepeek: Convert an image to PNG, JPEG, WebP, GIF, TIFF, BMP, ICO or AVIF. To shrink the file use image_compress. Returns the image converted `to` png, jpeg, webp, gif, tiff, bmp, ico (16-256 px icon sizes) or avif, with `quality`, progressive JPEG, optimized PNG or lossless We
image_compressimagepeek: Compress an image, optionally to a byte budget. To change the format only use image_convert. Returns a smaller JPEG, WebP, AVIF or PNG (or original if not smaller). With `max_bytes`, default `fit: quality` keeps dimensions; `fit: downscale` tries up to 6 aspect-preserv
image_cropimagepeek: Crop an image to a box or an aspect ratio. To scale instead use image_resize. Returns the image cropped to a box (`left`, `top`, `width`, `height`; out of bounds is a 422 crop_out_of_bounds) or to an `aspect` ratio such as 16:9 placed by `gravity` (center or a side or
image_rotateimagepeek: Rotate or flip an image. To change the format use image_convert. Returns the image rotated clockwise by `angle` (multiples of 90 are lossless transposes; other angles are bicubic, expanded by default, corners filled with `background`) and/or flipped (horizontal, vertic
image_thumbnailimagepeek: Make 1-8 thumbnails of an image in one call. For one exact resize use image_resize. Returns 1-8 thumbnails in one call, each `sizes` entry {width, height} (at most 4096), by `fit` cover (smart centre crop with `gravity`, default) or contain; not upscaled unless `upscal
image_metadataimagepeek: Read an image's EXIF, GPS, XMP, IPTC and ICC metadata. To remove the metadata use image_strip_metadata. Returns an image's header and metadata without decoding its pixels: format, dimensions, mode, frames, dpi, ICC profile, EXIF (camera, lens, dates, exposure, ISO, ori
image_strip_metadataimagepeek: Strip an image's EXIF, GPS, XMP, IPTC and comment metadata. To read the metadata use image_metadata. Returns the image without EXIF (GPS included), XMP, IPTC, comments and text chunks: JPEG, PNG, WebP and GIF are stripped losslessly at the byte level (pixel data unchan
image_watermarkimagepeek: Add a text watermark to an image. For PDFs use pdf_watermark. Returns the image with a text watermark (1-200 printable characters, DejaVu Sans Mono) at one of 9 positions, or `tile`d in a staggered grid, with `opacity`, `font_size` (default 5% of the short side), `colo
image_colorsimagepeek: Extract the dominant colours of an image. For a placeholder string use image_blurhash. Returns an image's palette of `k` colours (hex, rgb, share), the dominant one and the average colour with its luminance, from a 200 px sample (median cut refined by k-means; transpar
image_hashimagepeek: Compute perceptual hashes of an image, optionally compared. To group duplicates among up to 100 images use image_dedupe. Returns perceptual hashes of an image (aHash, dHash, pHash, wHash; 64 or 256 bits, imagehash-compatible) and, with a second image (`compare_url` or
image_dedupeimagepeek: Find duplicate images in a batch: group near-duplicates and pick the biggest. For a pair use image_hash. Returns groups of duplicate and near-duplicate images among up to 100 URLs (perceptual hash and Hamming distance), the highest-resolution image of each group as the
image_faviconimagepeek: Generate a favicon set from an image. For plain sizes use image_thumbnail. Returns a favicon set from one image: favicon.ico (16, 32, 48 px), favicon-32x32.png, apple-touch-icon.png (180 px, flattened on `apple_background`, white by default), icon-192.png and icon-512.
image_blurhashimagepeek: Generate a BlurHash placeholder string for an image. For the palette use image_colors. Returns the BlurHash string of an image (the published woltapp algorithm, identical to the reference package), with `x_components` and `y_components` 1-9 (default 4 x 3), for blurred
read_qr_barcodeimagepeek: Read every QR code and barcode in an image. To make a QR code use make_qr_code; for other text use ocr_image. Returns every code found: `type` (QR, EAN-13, EAN-8, UPC-A, UPC-E, Code128, Code39), decoded `text`, `kind` (url, wifi, vcard, payment_emv, ...), corner `point
ocr_imagesitepeek: OCR the text in a public image. For a scanned PDF use pdf_ocr; for QR codes and barcodes use read_qr_barcode. Returns width, height, format, text (lines and paragraphs kept), words and confidence_mean (0-100, mean word confidence). Non-images, oversize images, other lan
make_qr_codeutilpeek: make a QR code image. For 1-D barcodes use make_barcode; to read a code use read_qr_barcode. Returns `svg` (text) or `data_base64` (PNG), or with `output` "url" a 24 h download link, plus `version`, `modules`, `width_px`, `height_px` and `bytes`. Data too long for a QR
make_barcodeutilpeek: make a 1-D barcode image. For QR codes use make_qr_code; to find the product behind a number use lookup_barcode_product. Returns `svg` (text, with width_mm/height_mm) or `data_base64` (PNG, with width_px/height_px; `output` "url": a 24 h link), plus `encoded` and `bytes
convert_color_check_contrastutilpeek: Convert a color between hex, RGB, HSL and OKLCH and check WCAG contrast. For contrast alone use check_wcag_contrast. Returns a CSS color (hex, rgb(), hsl() or a CSS name) as hex, rgb, hsl, hsv, naive cmyk, OKLCH and WCAG relative luminance; with a `background`, the WCAG
render_mermaidpdfpeek: Render Mermaid diagram code to an SVG or PNG image. Returns Mermaid diagram code drawn as an SVG or PNG file in an offline sandboxed browser: `format` svg | png, `theme` (default, dark, forest, neutral, base), `scale` 1-4 for PNG (default 2, sharp when zoomed). File base
extract_pdf_imagespdfpeek: Extract embedded raster images from a PDF. Returns a ZIP of raster image XObjects and a per-page manifest; identical bytes share an asset. Up to 500 input pages, 100 selected pages, 200 image references and 15 MB output; 40 MP per image, 100 MP across distinct objects. R
vectorize_imageimagepeek: Vectorize a raster image to SVG paths. Returns traces a PNG, JPEG or WebP logo, icon or diagram into filled SVG paths using VTracer (MIT). Approximate; not OCR. 10 MB/40 MP input; trace <=262144 pixels. Alpha becomes white. SVG <=2 MB/2000 paths, script-free. text/plai
upscale_imageimagepeek: Upscale a small image 2x with a neural model. Returns creates a 2x neural derivative of one PNG, JPEG or WebP using offline QuickSRNet Small (BSD-3-Clause). Neural x2 derivative, not recovered detail or OCR. PNG/JPEG/WebP <=250000 pixels, 2048 per side; output PNG <=1
recognize_math_imageimagepeek: Recognize one printed equation as LaTeX. Returns recognizes one cropped printed equation as LaTeX using an offline model. Input: Exactly one url or image_base64; PNG, JPEG or WebP, up to 10 MB and 4 MP. Printed equation crop only; 10 MB/4 MP. Approximate, not a solver.
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7日
注册中心没有列出源代码仓库,因此无法将发布者(tanod.dev)与代码对应起来
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
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已读取 24 个工具描述,未发现针对 AI 的隐藏指令
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 3 项适用的基础检查中通过了 2 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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.1)于4天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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.
仓库中没有找到 README