Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Ideogram platform MCP (api v2): 18 image models, price quotes, async generations, raw call
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Pick the AI app you use, then copy the settings.
IDEOGRAM_API_KEY, IDEOGRAM_OUTPUT_DIRValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add ideogram --env IDEOGRAM_API_KEY=your-value --env IDEOGRAM_OUTPUT_DIR=your-value -- npx -y @qmediat.io/ideogram-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ideogram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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IDEOGRAM_OUTPUT_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account qmediat, which owns the repo
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We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: IDEOGRAM_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.0.0) reached the registry 27 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MCP server for the Ideogram platform through its v2 API: every image and video model Ideogram sells through one API key — Ideogram 4.5, 4.0, 3.0, 2a and 2.0, GPT Image, Nano Banana, P-Image, Z-Image, the Topaz upscalers; Seedance 2.5 and 2, Kling 3, MiniMax H3 for video — for generate, precise edit, inpaint, remix, reframe, replace background, remove background, remove object, upscale, describe, layerize and video (from a prompt, an image or references), the commercial tools (ad localizer, resizer and variations, colorways, ghost mannequin, material swap, model pose variants, sketch to render), the utilities (magic prompt, layerize logos, provenance, snap mask), plus the account's usage, invoices and keys and custom-model training, from Claude Code, Claude Desktop or any MCP client over stdio. Every call can be priced first (the API's own dry run), long jobs are returned by id and collected later, and any other operation the release serves is one validated raw call away. Built from Ideogram's OpenAPI specification (ADR-0001).
model on every tool, with each model's own fields (a field the model does not take is refused, naming the models that do). The model lists and fields come from Ideogram's specification, so a new model is a reviewed snapshot update, not a rewriteideogram_quote asks the API what exactly this call would cost (USD and credits; nothing generated or billed)private sends it as true unless you set it (on remove background, replace background and the auto models the API's own default is your plan's setting); a model without the field (reframe with Ideogram 3.0, remove object) follows the API's own behaviour, and ideogram_api sends what you give itwait_s and otherwise hands back the generation_id for ideogram_generation. A request is resent only when it never left the machine or got a 429ideogram_operations lists what the API offers; ideogram_api calls any served operation by id, checked against its own schema first@modelcontextprotocol/sdk + zod; native fetchRequires Node.js 22 or newer and an IDEOGRAM_API_KEY — create one in Ideogram's API dashboard at ideogram.ai/platform → API Keys → Create key (setup guide).
claude mcp add --scope user ideogram -e IDEOGRAM_API_KEY=your-api-key -e IDEOGRAM_OUTPUT_DIR=/tmp/ideogram-output -- npx -y @qmediat.io/ideogram-mcp
or by hand (below). npm install -g @qmediat.io/ideogram-mcp installs the ideogram-mcp command, which can replace the npx line in any config.
Add to ~/.claude.json → mcpServers:
{
"ideogram": { "command": "npx", "args": ["-y", "@qmediat.io/ideogram-mcp"], "env": { "IDEOGRAM_API_KEY": "your-api-key", "IDEOGRAM_OUTPUT_DIR": "/tmp/ideogram-output" } } }
Add to claude_desktop_config.json:
{
"mcpServers": { "ideogram": { "command": "npx", "args": ["-y", "@qmediat.io/ideogram-mcp"], "env": { "IDEOGRAM_API_KEY": "your-api-key", "IDEOGRAM_OUTPUT_DIR": "/tmp/ideogram-output" } } } }
| Variable | Required | Default | Description |
|---|---|---|---|
IDEOGRAM_API_KEY | Yes | — | Your Ideogram API key (ideogram.ai/platform → API Keys) |
IDEOGRAM_OUTPUT_DIR | No | /tmp/ideogram-output | Any folder where you want images saved. Use absolute paths (e.g. /home/user/images/ideogram) |
| Tool | What it does | Models |
|---|---|---|
ideogram_generate | Images from a text prompt | ideogram-3 (default), ideogram-4-5, ideogram-4, ideogram-3-character, ideogram-3-custom-model, ideogram-4-custom-model, ideogram-3-transparent, ideogram-4-transparent, ideogram-2a, ideogram-2, gpt-image-2, gpt-image-2-5-flare, gpt-image-2-5-sunburst, nano-banana-2, nano-banana-pro, p-image-ideogram, z-image, auto |
ideogram_precise_edit | Edit an image at its exact size: a prompt, an optional mask (black = edit), up to 4 reference images, context_window to confine the edit | ideogram-4-5 |
ideogram_inpaint | Repaint the masked part of an image (black = repaint) | ideogram-3 (default), ideogram-3-character, ideogram-3-custom-model |
ideogram_edit | The 1.x name of ideogram_inpaint (kept through 2.x) | as inpaint |
ideogram_remix | New images from a source image and a prompt | ideogram-3 (default), ideogram-3-character, ideogram-3-custom-model, ideogram-4, auto |
ideogram_reframe | Extend an image to a new size (outpainting) | ideogram-3 (default), nano-banana-2 |
ideogram_replace_background | A new background, the subject kept | ideogram-3 (default), gpt-image-2 |
ideogram_remove_background | The foreground as a transparent PNG | ideogram-1 |
ideogram_remove_object | Remove what the mask marks (white = remove) and fill the gap | ideogram-1 |
ideogram_upscale | Enlarge an image | auto (default), topaz-bloom-2, topaz-redefine, topaz-standard-2, topaz-text-refine, topaz-wonder-3-5, nano-banana-pro |
ideogram_describe | Describe an image: words (ideogram-3, default) or a structured JSON prompt (ideogram-4) | ideogram-3, ideogram-4 |
ideogram_video_text | A video from a prompt: duration, aspect ratio, resolution, audio per model; saved as mp4 (give duration: omitted, Seedance is quoted at its maximum length) | seedance-2-5-text-to-video (default), seedance-2-text-to-video, kling-3-standard-text-to-video, minimax-h3-text-to-video |
ideogram_video_image | A video from a start image (and an end image): files, URLs or assets | seedance-2-5-image-to-video (default), seedance-2-image-to-video, kling-3-standard-image-to-video, minimax-h3-image-to-video |
ideogram_video_reference | A video guided by reference images, MP3/WAV clips (2-30 s on Seedance 2.5, 2-15 s elsewhere) and videos stored with Ideogram, in prompt order; at least one reference image or video | seedance-2-5-reference-to-video (default), seedance-2-reference-to-video, minimax-h3-reference-to-video |
ideogram_layerize | A flat image as an editable design: the text-free base image (saved) and the detected text blocks (JSON: text, position, font, size, colour); optional font_candidate_files (.ttf, .otf, .woff, .woff2) to match against | ideogram-3 |
ideogram_ad_localizer | Translate an ad's copy into one language, keeping layout, logos and product; exact_copy pins wordings | one operation (post_ad_localizer) |
ideogram_ad_resizer | Reframe an ad to a platform's exact ad size inside its safe zone | one operation (post_ad_resizer) |
ideogram_ad_variations | Vary an ad along one axis: people, setting, group_size or scene | one operation (post_ad_variations) |
ideogram_colorways | Recolor a product photo: up to 4 masks paired with hex colours | one operation (post_colorways) |
ideogram_ghost_mannequin | A garment on an invisible mannequin from its photos, in the view asked | one operation (post_ghost_mannequin) |
ideogram_material_swap | Apply reference materials to the masked regions of a product photo | one operation (post_material_swap) |
ideogram_model_pose_variants | Re-pose the model of a fashion image by instruction | one operation (post_model_pose_variants) |
ideogram_sketch_to_render | Render a fashion sketch as a product photo | one operation (post_sketch_to_render) |
ideogram_magic_prompt | Rewrite a prompt into an Ideogram 4.0 structured JSON prompt (nothing generated) | one operation (post_magic_prompt_v4) |
ideogram_layerize_logos | Detect and remove reference logos from a flat design: the base image saved, the layers listed | one operation (post_layerize_logos) |
ideogram_provenance | Check whether an image was created by Ideogram (free) | one operation (post_provenance_verify) |
ideogram_snap_mask | Snap a hand-drawn mask to the object it marks; the PNG saved | one operation (post_snap_mask) |
ideogram_quote | The price of a call: {"tool": "ideogram_generate", "arguments": {…}} | every operation that offers a dry run (not describe, ad variations, pose variants, sketch to render, nor the v1 utilities) |
ideogram_generation | Collect a generation by generation_id — its images or its video | — |
ideogram_usage | Billed usage as Ideogram reports it: buckets of line items summed per product and currency, the buckets handed on (the shape ai-cost reads); default the last 7 days by day | — |
ideogram_invoices | The organization's invoices with their line items (organization-admin key) | — |
ideogram_api_keys | The organization's API keys, redacted (organization-admin key) | — |
ideogram_datasets | Your training datasets: the list (searched by name) or one with its files and models | — |
ideogram_dataset_upload | Images, .txt captions and .zip archives into a dataset (an existing one, or a new one from a name); local paths or public https URLs | — |
ideogram_train | Train a custom model from a dataset of 15–100 images; hyperparameters route to the advanced operation | ideogram-4 (default), ideogram-3 |
ideogram_models | Your custom models and the shared ones, or one with its training runs; a completed model's custom_model_uri generates through ideogram_generate | — |
ideogram_operations | What the API offers: families, operations, fields, limits | — |
ideogram_api | Any served operation by id, including the ones the documentation index does not list (the reframe models auto, bria-expand, gpt-image-2-5-flare, nano-banana-pro) | — |
Each model's fields are listed in the tool's schema (one variant per model) and in docs/API-REFERENCE.md, generated from the specification. Image inputs are local file paths or public https URLs (or Ide
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