Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Ideogram platform MCP (api v2): 18 image models, price quotes, async generations, raw call
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
IDEOGRAM_API_KEY, IDEOGRAM_OUTPUT_DIRLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add ideogram --env IDEOGRAM_API_KEY=your-value --env IDEOGRAM_OUTPUT_DIR=your-value -- npx -y @qmediat.io/ideogram-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"ideogram": {
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"ideogram": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qmediat.io/ideogram-mcp"
],
"env": {
"IDEOGRAM_API_KEY": "your-value",
"IDEOGRAM_OUTPUT_DIR": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
IDEOGRAM_OUTPUT_DIR envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub qmediat, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: IDEOGRAM_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.0.0) llegó al registro hace 27 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo