Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Ideogram platform MCP (api v2): 18 image models, price quotes, async generations, raw call
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
IDEOGRAM_API_KEY, IDEOGRAM_OUTPUT_DIRAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add ideogram --env IDEOGRAM_API_KEY=your-value --env IDEOGRAM_OUTPUT_DIR=your-value -- npx -y @qmediat.io/ideogram-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"ideogram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
IDEOGRAM_OUTPUT_DIR envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto qmediat bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: IDEOGRAM_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.0.0) kam vor 26 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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