Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Ideogram platform MCP (api v2): 18 image models, price quotes, async generations, raw call
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
IDEOGRAM_API_KEY, IDEOGRAM_OUTPUT_DIR「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add ideogram --env IDEOGRAM_API_KEY=your-value --env IDEOGRAM_OUTPUT_DIR=your-value -- npx -y @qmediat.io/ideogram-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"ideogram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
IDEOGRAM_OUTPUT_DIR envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント qmediat で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:IDEOGRAM_API_KEY
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.0.0)がレジストリに届いたのは27 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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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