poster-design-mcp
poster-design-mcp
Un servidor MCP que diseña carteles empresariales. Pide a tu clente de IA un cartel en lenguaje natural y escrie un PNG o JPG real en el disco — con resolución de impresión, maquetado por un sistema de diseño y no a ojo.
Cada cartel de esta página se ha producido con una sola llamada a una herramienta. Más en Galería.
Contenido
Related MCP server: Canvora MCP
Qué hace
La mayoría de las herramientas de imagen con IA pintan un cartel, así que la tipografía sale derretida y el número de teléfono es inventado. Esta compone un cartel. El titular es texto real en una fuente real, el precio es el precio que le diste, y el resultado aterriza en dimensiones exactas de píxeles: 2480×3508 para A4 a 300 dpi, listo para la imprenta.
Obtienes:
Cuatro diseños derivados de cuatro carteles de referencia: eventos, mensajes de marca, anuncios de producto e hitos numéricos.
Una paleta a partir de un código hex. Dale tu color de marca; de él se derivan el fondo, la tinta, el acento y la escala de patrones, con la tinta elegida según la relación de contraste para que el texto siga siendo legible.
Tipografía display con autoajuste. El titular crece hasta que la línea más larga toca el margen y entonces se detiene. Tú eliges los saltos de línea; el servidor elige el tamaño.
Tratamiento real de fotografías — recortes a sangre, puntos focales, velos de degradado para que el texto nunca quede crudo sobre una imagen.
Tamaños de impresión o para redes sociales, PNG o JPG, bajo demanda.
Cómo funciona
your prompt
│
▼
AI client ──MCP/stdio──▶ poster-design-mcp
│
│ 1. pick a template (src/templates/*.js)
│ 2. derive the palette from brandColor
│ 3. build an HTML + CSS document
▼
headless Chrome ── screenshot ──▶ poster.png
│
▼
~/Documents/Poster Designs/El sistema de diseño son números, no sensaciones. Se extrajeron doce reglas de cuatro carteles de referencia y se escribieron en
src/design-system.jscomo valores que las plantillas consumen de verdad: margen del 6.8% de la anchura, tipo principal entre 0.055 y 0.155 de la anchura, interlineado 0.90, interletraje −0.03em. El texto de DESIGN-PRINCIPLES.md y los píxeles renderizados se leen de las mismas constantes, así que la documentación no puede desviarse de la salida.Una plantilla convierte tu texto en un documento. Cada una de las cuatro plantillas (
src/templates/) es una función: contenido de entrada, HTML y CSS de salida. Coloca las bandas, define los roles tipográficos, genera el patrón decorativo a partir de una semilla e incrusta cada imagen local como URI de datos.Headless Chrome hace la maquetación. Renderizar en un navegador aporta maquetación de texto real — fuentes de respaldo, guionado, recorte con
object-fit, formas de letra conmix-blend-mode: multiply— y el bucle de autoajuste mide el titular realmente maquetado y lo reescala hasta que llena la medida. A continuación se hace una captura de la página en las dimensiones exactas de salida, condeviceScaleFactorhaciendo el trabajo, de modo que un A4 a 300 dpi es realmente 2480×3508 píxeles y no un reescalado.El archivo va a Documentos. Un servidor MCP lo lanza su cliente y no tiene un directorio de trabajo significativo, así que los resultados se escriben en un lugar localizable y la herramienta devuelve la ruta.
No se sube nada. Sin clave de API, sin llamadas de red: todo el proceso se ejecuta en tu máquina.
Instalación
Requiere Node 20+ y un binario de Chrome/Chromium.
git clone https://github.com/suprisedr/poster-design-mcp.git
cd poster-design-mcp
npm installnpm install instala Puppeteer, que normalmente descarga su propio Chrome. Si no lo hizo, o si omitiste la descarga:
npx puppeteer browsers install chromeChrome se busca en este orden: $POSTER_CHROME_PATH → el Chrome gestionado por Puppeteer → Google Chrome o Chromium en las ubicaciones habituales del sistema. Para apuntar a un binario concreto:
export POSTER_CHROME_PATH="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome"Comprueba que funciona:
npm testEso arranca el servidor por stdio, ejercita todas las herramientas y verifica los presupuestos de tokens. Después, para tener algo que ver:
npm run demoUn cartel por plantilla en ./examples.
Conéctalo a tu cliente de IA
Claude Code
claude mcp add poster-design -- node /absolute/path/to/poster-design-mcp/src/server.jsClaude Desktop o cualquier archivo de configuración de MCP
Añade a mcpServers (en macOS, la configuración de Claude Desktop está en ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"poster-design": {
"command": "node",
"args": ["/absolute/path/to/poster-design-mcp/src/server.js"],
"env": {
"POSTER_BASE_DIR": "/absolute/path/to/poster-design-mcp"
}
}
}
}Usa rutas absolutas: el cliente lanza el servidor desde un directorio impredecible.
Variable de entorno | Significado |
| Contra qué se resuelven las rutas relativas de imagen y de salida |
| Mueve la carpeta de salida predeterminada fuera de |
| Binario explícito de Chrome/Chromium |
Reinicia el cliente y aparecen las cuatro herramientas.
Cómo usarlo
Una vez conectado, solo tienes que pedir:
Hazme un cartel A4 para Golden Crust Bakery — panes y pasteles artesanales, 123 Maple Street, abierto de 6am a 6pm de martes a domingo. Naranja cálido, usa esta foto de pan.
El cliente elige una plantilla y llama a create_poster. Por debajo, eso es una única carga útil JSON:
{
"template": "photo-overlay",
"brandColor": "#0F918F",
"size": "instagram-portrait",
"format": "jpg",
"content": {
"brandName": "Guski",
"logoBadge": true,
"headline": "You love it,\nwe cover it",
"subhead": "Cover that changes everything",
"cta": { "label": "Get a quote", "phone": "061 306 081" },
"legal": "Guski Short Term Insurance Ltd. Reg. No. 89/524.",
"image": "examples/sample-photo.jpg",
"imageFocus": "50% 45%"
}
}Devuelve una línea escueta — path | 2480x3508 png | 191KB | ... — y el archivo está en el disco.
Dos cosas que conviene saber al escribir el texto:
Usa
\nen un titular para elegir dónde salta de línea. El generador ajusta el tamaño del tipo para llenar el bloque que escribas, así que el salto es una decisión de diseño y es tuya.Mantenlo corto. Titular de 2 a 5 palabras, subtítulo de menos de 45 caracteres, cuerpo de dos líneas. La escala tipográfica está construida sobre un contraste extremo; un texto largo es lo que hace que un cartel parezca un folleto.
Galería
Resultados reales, una llamada a herramienta cada uno.
| El mismo cartel sin foto. Elimina el campo |
|
|
|
|
Las fotografías de muestra son imágenes de relleno incluidas para demostración; cambia por las tuyas.
Herramientas
Herramienta | Qué hace |
| Las cuatro plantillas y cuándo usar cada una, además de paletas, tamaños y fuentes. Pasa un id de |
| Las doce reglas, la escala tipográfica y las proporciones de maquetación. Pasa |
| Renderiza un cartel a PNG/JPG y devuelve la ruta. Pasa |
| El mismo texto en hasta 4 plantillas o paletas, para comparar |
Plantillas
id | Basada en | Úsala para |
| Un cartel de festival de jazz | Eventos, lanzamientos, programaciones. Banda de patrón + fotografía + bloque de texto + franja de patrocinadores |
| Un cartel tipográfico de marca | Mensajes de marca y palabras de campaña, cuando no hay ninguna fotografía que merezca la pena imprimir |
| Un anuncio de campaña de seguros | Publicidad de productos y servicios con llamada a la acción y letra pequeña |
| Un anuncio de aniversario | Hitos, resultados y ofertas que incluyen un número |
Las reglas que hay detrás están en DESIGN-PRINCIPLES.md — un mensaje por cartel, bandas en lugar de cajas, contraste de escala de 6 a 12×, un único valor de margen, termina en una píldora.
Tamaños, paletas e imágenes
Tamaños. a4-print (2480×3508 @300dpi), a3-print, a5-flyer, poster-hd, instagram-post, instagram-portrait, story, web-banner — o pasa width y height en píxeles. La salida se ajusta exactamente a esas dimensiones.
Color. Pasa brandColor como hex y la paleta completa se deriva de él. O pasa palette para uno de los conjuntos con nombre (festival-block, prism-glass, night-drive, signal-teal, mono-ink), que prevalece sobre brandColor.
Imágenes. image, logo, badge.logo y partners[].logo aceptan una ruta local (absoluta, ~ o relativa a POSTER_BASE_DIR) o una URL http(s). Los archivos locales se incrustan como URI de datos antes de renderizar. Para stat-hero, un sujeto recortado sobre un PNG transparente te da el efecto de que el sujeto cruza el número.
Dónde se guardan los carteles
Los carteles terminados van a ~/Documents/Poster Designs.
| Se resuelve a |
omitido |
|
|
|
| exactamente eso: las formas relativas se resuelven contra |
Define POSTER_OUTPUT_DIR para mover el destino predeterminado a otro lugar, o outputPath para un archivo exacto.
Coste de tokens
La lista de herramientas de un servidor MCP se vuelve a enviar en cada petición de cada sesión, por lo que este está escrito para que sea barato mantenerlo en el contexto:
La lista de herramientas es de ~990 tokens, frente a los ~2.600 anteriores. Incluye nombres, opciones y nombres de campos; los significados de los campos se movieron detrás de
list_poster_templates, que los llamadores que lo necesitan invocan una sola vez.list_poster_templatesdevuelve ~390 tokens en lugar de ~1.700; pasa un id detemplatepara una sola maquetación en lugar de las cuatro.get_design_principlesdevuelve ~280 tokens en lugar de ~1.700; usadetail: truepara obtener el razonamiento completo.Los resultados son una línea escueta en lugar de un JSON formateado.
La imagen de vista previa integrada (200–500 tokens por póster) es opt-in mediante
preview: true. El archivo está en Documents, que es un mejor lugar para verlo.
npm test comprueba el presupuesto de la lista de herramientas, así que una regresión en la parte más cara hace fallar la compilación.
Desarrollo
npm run demo # one poster per template into ./examples
npm test # boots the server over stdio, exercises every tool, checks the token budgetssrc/
server.js MCP wiring: tool list, dispatch, terse results
poster.js orchestration — template → HTML → render → write
design-system.js the twelve rules as numbers: palettes, type scale, layout ratios
templates/ one file per layout, each content → { body, css }
lib/
html.js document assembly and escaping
pattern.js seeded decorative pattern generation
media.js image resolution and data-URI inlining
render.js headless Chrome lifecycle and screenshotting
paths.js output directory resolutionsaveHtml: true escribe el código fuente HTML junto a la imagen, que es la forma más rápida de ver por qué algo se maquetó de esa manera. seed hace que el patrón y el jitter sean reproducibles.
Solución de problemas
Síntoma | Solución |
|
|
Las herramientas no aparecen en el cliente | Usa una ruta absoluta a |
Las imágenes no se renderizan | Las rutas locales se resuelven con respecto a |
El póster se guarda en un lugar inesperado | El valor predeterminado es |
El titular se desborda | Pon tus propios saltos |
Creador
Creado por Suprise Nkosi.
Facebook — facebook.com/suprise.nkosi.524
GitHub — @suprisedr
Las issues y las pull requests son bienvenidas.
Licencia
MIT — consulta LICENSE.
Available Tools
4 toolscreate_posterB
Render a business poster to a PNG/JPG in ~/Poster Designs. Auto-fitted display type, band structure, one accent colour, protected legibility. Returns the file path.
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | Same seed = same pattern/jitter. | |
| size | No | Default a4-print. | |
| fonts | No | Roles display/text. grotesque|humanist|black|geometric|serif|mono or a CSS font-family. | |
| width | No | Custom px width (with height). | |
| format | No | Default png. | |
| height | No | ||
| content | Yes | Copy and imagery. Fields (* = required): banded-editorial(headline*, subhead, details, eyebrow, badge, partners, image, imageFocus, patternDensity); chromatic-type(word*, tagline, brandLine, overlap, jitter, shards, bleed, fill); photo-overlay(headline*, subhead, cta, brandName, logo, logoBadge, legal, image*, imageFocus, scrim, treatment); stat-hero(headline*, subhead, figure*, labelTop, labelBottom, body, tag, image, cutout, logo, figureStyle). Field meanings: list_poster_templates. Use \n in a headline to set the rag. | |
| palette | No | festival-block|prism-glass|night-drive|signal-teal|mono-ink or a hex. Beats brandColor. | |
| preview | No | Return an inline thumbnail to look at. Costs tokens; default false. | |
| quality | No | JPEG quality 1-100, default 92. | |
| filename | No | Name without extension. | |
| saveHtml | No | Also write the HTML source. | |
| template | Yes | ||
| outputDir | No | Absolute path, or a subfolder of ~/Poster Designs (the default). | |
| brandColor | No | Brand hex; a full palette is derived from it. | |
| outputPath | No | Exact output path. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral disclosure burden. It does transparently mention file output formats, the output directory, and the return value, and it adds design automation traits such as auto-fitted display type and protected legibility. However, it does not mention overwrite behavior, permissions, or other side effects beyond writing the poster file.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded: purpose, key output behavior, and return value appear in three short sentences. The design-behavior clause is useful but uses some jargon (e.g., 'band structure', 'protected legibility') that is not explained; still, there is minimal waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (16 parameters, nested content objects, four templates), the description is brief but the schema compensates with rich parameter documentation. It covers the output path and basic design behavior, but it lacks guidance on when to choose this tool over create_poster_variants and does not summarize template requirements in the main description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is high (88%), and the schema already documents parameter meanings, defaults, enums, and nested template-specific fields. The description adds no parameter-level detail beyond general design intent, so the baseline 3 applies because the schema carries most of the semantic weight.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Render a business poster to a PNG/JPG'), a target location ('~/Poster Designs'), and the return value ('Returns the file path'). It clearly identifies this as a poster-generation tool, though it does not explicitly distinguish it from the sibling create_poster_variants.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus create_poster_variants, or how it relates to list_poster_templates and get_design_principles. Usage context is only implied by the phrase 'Render a business poster' and the parameter schema; there are no exclusions or alternative-selection hints.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_poster_variantsA
Same message across several templates/palettes in one call, to compare directions.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Shared copy; fields as in create_poster. | |
| template | No | Fallback when a variant names none. | |
| variants | Yes | Up to 4 override objects: template, palette, brandColor, seed, fonts, filename or extra content fields. Any create_poster option may also be set at the top level as a shared default. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. It accurately communicates the key batch behavior (several variants in one call) and the comparison intent, but it does not mention return format, failure modes, or any side effects. This is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise sentence that delivers the core value proposition without wasted words. It is front-loaded with the batch concept and ends with the purpose, making it easy to scan. Slightly more explicit structure would improve it, but it is appropriately sized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 3-parameter tool with nested objects and no output schema, the description gives enough context to select the tool and understand its general purpose. However, an agent would still need to rely on the schema for override semantics and would not know what the response contains. Functional for selection, incomplete for full invocation confidence.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the structured schema already documents content, template fallback behavior, and variant overrides. The description adds the conceptual 'same message across templates' framing but no additional parameter-level detail beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly conveys that the tool generates the same message across multiple templates/palettes in a single call, which differentiates it from the singular create_poster sibling. It lacks an explicit verb but the resource and batch scope are unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'to compare directions' provides a clear context for when this tool is appropriate: when the user wants to explore multiple visual directions at once. It does not explicitly name alternatives or exclusions, but the batch comparison purpose is evident from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_design_principlesA
The design rules, type scale and layout ratios the generator applies. For writing copy that fits, or critiquing output.
| Name | Required | Description | Default |
|---|---|---|---|
| detail | No | Full rationale per rule instead of one line each. | |
| brandColor | No | Also return the palette derived from this hex. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of explaining behavior. It communicates that this is a read-oriented informational tool returning rules, type scale, and ratios, but it does not explicitly state the return format, side effects, or any constraints such as whether brandColor changes the returned rules.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with no filler. The first sentence establishes what the tool returns and the second gives actionable usage guidance, so every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple getter with two optional parameters and no output schema, the description names the key return content and intended use. It would be more complete with a sentence about what the response contains, but for this complexity the coverage is adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters. The description adds no parameter-level meaning, but the baseline of 3 applies because the schema handles the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource as the generator's design rules, type scale, and layout ratios, and states its intended use in writing or critiquing copy. It does not explicitly contrast with sibling tools, but the subject matter is obviously distinct from template listing and poster creation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The second sentence gives explicit use cases: 'For writing copy that fits, or critiquing output.' It does not state exclusions or point to alternatives, so it stops short of a 5, but the situational context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_poster_templatesA
Field guide for the poster layouts, plus palettes, sizes and fonts. Pass a template id for that one layout only. Call once before create_poster if unsure.
| Name | Required | Description | Default |
|---|---|---|---|
| template | No | Just this layout, in full. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It implies read-only behavior through 'field guide' and describes the optional filter behavior ('Pass a template id for that one layout only'), which adds useful context. However, it never explicitly states that the operation is read-only, nor does it describe the default return behavior when no template is passed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short sentences with no fluff. The purpose is front-loaded, the optional parameter behavior is stated in the second sentence, and the workflow guidance is in the third. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one optional parameter and no output schema, the description adequately covers what the tool returns, the filtering behavior, and when to call it. The main gap is the absence of any distinction from the sibling get_design_principles, which could leave an agent uncertain which reference tool to select.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents the template parameter. The description adds only 'for that one layout only,' which reinforces the schema's 'Just this layout, in full' but does not materially extend it. This is the appropriate baseline when the schema handles parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a reference for poster layouts, palettes, sizes, and fonts, which is a specific resource and content scope. It does not explicitly use the verb 'list' but the name and 'field guide' make the informational purpose clear. It distinguishes itself from create_poster by placement in workflow, though it does not differentiate from sibling get_design_principles.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit contextual guidance: 'Call once before create_poster if unsure.' This tells the agent when to use the tool and provides a workflow cue. It does not state when not to use it or explicitly compare to get_design_principles, so it stops short of full alternative routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
v1.1.0- First observed
create_poster - First observed
create_poster_variants - First observed
get_design_principles - First observed
list_poster_templates
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: discovering templates, learning design principles, creating a single poster, and creating variants. Even the two create tools are distinguishable by single vs. batch behavior.
All tool names follow the same verb_noun snake_case pattern: list_, get_, create_, create_. The naming is predictable and indicates the action and resource clearly.
Four tools is well-scoped for a poster design server, covering discovery, guidance, creation, and variation. The set feels intentionally minimal rather than bloated or incomplete.
The core workflow is covered: browse templates, learn design rules, create a poster, and generate variants. Minor gaps exist around modifying or deleting generated posters, but these are not clearly required for the server's stated purpose.
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