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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Adobe MCP

de AJSMontyversión 1.1.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.AJSMonty/adobe-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Drive Adobe CC (AE, Photoshop, Illustrator, Premiere, Character Animator) from any MCP client

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "adobe": {
      "command": "npx",
      "args": [
        "-y",
        "@ajsmonty/adobe-mcp"
      ],
      "env": {
        "ADOBE_MCP_WORKSPACE": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add adobe --env ADOBE_MCP_WORKSPACE=your-value -- npx -y @ajsmonty/adobe-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "adobe": {
      "command": "npx",
      "args": [
        "-y",
        "@ajsmonty/adobe-mcp"
      ],
      "env": {
        "ADOBE_MCP_WORKSPACE": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "adobe": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ajsmonty/adobe-mcp"
      ],
      "env": {
        "ADOBE_MCP_WORKSPACE": "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.

Valores que debes completar

  • ADOBE_MCP_WORKSPACE env
    Directory for rendered assets, the asset registry, and learned lessons (default: ~/AdobeMCP)

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub AJSMonty, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 18336 servidores de esta categoría
  • Publicado en el registro más recientemente que el 15% de los otros 18336 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 18336 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Adobe MCP?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (1.1.1) llegó al registro hace 4 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, NexusWindows

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

NexusWindows

de pironjulien

Windows computer use in the background: desktop apps driven without your mouse or keyboard.

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

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.

adobe-mcp — Adobe Creative Cloud MCP server (macOS)

Drives After Effects, Photoshop, Illustrator, Premiere Pro (and Character Animator puppet authoring) from Claude, plus Blender and Substance 3D Painter for 3D look-dev and cinematic animation. See ROADMAP.md for the full tool matrix and what is next. Bridge: MCP client → this server → AppleScript DoScript → AE → temp result file → back.

Tools

ToolPurpose
run_extendscriptRun arbitrary JSX; return comes back as JSON. Auto undo-grouped.
get_project_stateProject item tree, or one comp's layers in detail (comp_name).
save_frameRender a comp frame to PNG, returned inline so Claude can *see* its work.
list_ae_scriptsList .jsx/.jsxbin tools in scripts/ with descriptions from header comments.
run_ae_scriptExecute a library script, like File → Scripts → Run Script File.

3D & cinematic VFX pipeline (Blender + Substance 3D Painter)

Two Python bridges extend the server beyond ExtendScript so one agent can take a shot from blocking to final composite:

                  ┌──► Blender ──────────► Python (bpy): live add-on socket :9877, or headless `blender -b`

MCP client ───────┼──► Substance Painter ─► Python: remote scripting HTTP :60041 (/run.json) └──► After Effects ────► ExtendScript via osascript (as above)

ToolPurpose
blender_run_pythonRun bpy code (result = ... returns JSON). mode: live (running Blender), background (headless, optional blend_file / save_as), auto.
blender_get_stateScene summary: frame range, fps, engine, motion blur, camera lens/DoF, passes, every object.
blender_render_frameRender a low-sample preview frame through the scene camera, returned inline.
blender_render_animationRender the frame range with the scene's output settings and register the output as an asset.
substance_run_pythonRun Python in Substance 3D Painter (substance_painter.*).
substance_get_stateTexture sets, resolutions, stacks, channels, root layers.
substance_bake_mesh_mapsStart the async mesh-map bake (curvature/AO feed smart materials).
substance_export_texturesExport PBR maps with a preset (default *PBR Metallic Roughness*); registers each map.
vfx_plan_creature_shotTurns a brief ("a photo-real dinosaur walking past the camera while turning its neck") into physically derived timing plus the ordered tool calls for every stage.

Free CC0 texture & HDRI libraries (Poly Haven, ambientCG): everything both publish is public domain, so it's free for commercial work with no attribution.

ToolPurpose
texture_searchSearch both libraries for PBR materials (type=texture) or HDRIs (type=hdri); returns ids, tags, thumbnails.
texture_downloadDownload one asset at 1k–8k into /textures (cached), maps renamed _BaseColor/_Roughness/_Normal/_Height/_Metallic/_ARM/_AO.
blender_apply_textureBuild a Principled material from a library asset or a local map folder (e.g. a Substance export) and assign it: correct colour spaces, OpenGL normals, true displacement, ARM unpacking, real-world tile_m scale, tri-planar projection for meshes without UVs.
blender_set_hdriLight the scene with a library HDRI (strength, rotation) to match the plate.

The downloaded folder also works as texture_dir for Creature_Walk_Cinematic.py. Set POLYHAVEN_API / AMBIENTCG_API to point at a mirror if you need to.

Library scripts (run with run_script, parameters via params):

  • scripts/blender/Creature_Walk_Cinematic.py: a heavy-biped walk timed from physics. Speed comes from the Froude number, stride from Alexander (1976), and feet stay planted with zero slide. The neck and tail lag 3 frames per joint, the head is gaze-stabilised and turns toward the lens, and the chest breathes. The camera is a handheld rig with operator lag and footfall impact shake. The render setup is Cycles with a 180° shutter, a shadow catcher, and beauty/shadow/mist PNG sequences plus a multilayer EXR. Tested headless against Blender 5.0.1 (bpy); it also handles the 4.x APIs.
  • scripts/substance/Creature_Skin_LookDev.py: optional bake, then a matte "aged scales" base, a cavity-masked wetness layer, and glossy eye/mouth sets, all in one undo step. Optional export.
  • scripts/ae/Cinematic_3D_Composite.jsx: imports the passes, multiplies the shadow, adds a precomped edge light wrap, depth haze from mist, an optional depth lens blur, CG softening, and grain on the CG only.

Setup:

  • Blender live mode: Edit → Preferences → Add-ons → Install from Disk → bridges/blender/adobe_mcp_bridge.py, then enable it (listens on 127.0.0.1:9877; override with BLENDER_MCP_PORT). Background mode needs no add-on; it finds /Applications/Blender*.app or blender on PATH (override with BLENDER_PATH).
  • Substance 3D Painter: launch with remote scripting enabled: open -a "Adobe Substance 3D Painter" --args --enable-remote-scripting (port override: SUBSTANCE_PAINTER_PORT).
  • Both bridges are local-only and unauthenticated: anything on the machine that can reach the port can run Python in the app. Disable the Blender add-on or quit Painter when you're done.

Knowledge system (the server learns as it goes)

The server ships with a curated knowledge base (knowledge/lessons.jsonl) seeded from real production sessions — matchName gotchas, API quirks, parameter-type traps, and techniques (blueprint line extraction, seamless wind loops, QE transitions, Auto Reframe...).

Three mechanisms keep it useful and growing:

  1. Auto-surfaced gotchas — every failed *_run_extendscript call is matched against the lesson keywords; hits are appended to the error message the client sees (e.g. hit Illegal Parameter type in Premiere and the fix for autoReframeSequence's string preset arrives with the error). Failures are also logged to $WORKSPACE/error-log.jsonl as raw material for new lessons.
  2. `knowledge_search` / `knowledge_add` tools — agents consult lessons before attempting unusual scripting, and record new gotchas when they solve one that wasn't auto-suggested. Runtime lessons persist to $WORKSPACE/learned.jsonl (survives repo updates, per-install).
  3. Server instructions + tool descriptions — the highest-value rules (explicit document targeting, visual verification, render-timeout handling, ES3 limits) are baked into the MCP instructions and the per-tool descriptions, so a fresh install starts smart.

The scripts/ per-app libraries are the executable side of the same idea — distilled, reusable skills (list_scripts / run_script): blueprint line extraction (PS), seamless wind loops and kinetic typography rigs (AE), one-call vertical Auto Reframe (Premiere).

Install

Option A — one-click for Claude Desktop & Cowork (no Node needed)
  1. Have the Adobe apps you want to drive installed. In After Effects, enable Preferences → Scripting & Expressions → "Allow Scripts to Write Files and Access Network".
  2. Download the latest adobe-mcp-x.y.z.mcpb from Releases and double-click it (or drag it onto Claude Desktop → Settings → Extensions). Claude Desktop bundles its own Node runtime — nothing else to install.
  3. Use it. The first tool call for each app triggers a one-time macOS Automation permission prompt — click Allow.

Upgrading? Remove the old version first (Settings → Extensions → Adobe Creative Cloud → Uninstall), then install the new .mcpb — in-place installs over an existing version can leave stale files behind while reporting the new version number.

Option B — any MCP client via npm

Requires Node 18+ installed system-wide (nodejs.org installer or brew install node — note GUI apps often cannot see nvm-managed installs). No clone, no npm install: every client config below just runs

npx -y @ajsmonty/adobe-mcp
Option C — from source (contributors)
git clone https://github.com/AJSMonty/adobe-mcp.git ~/tools/adobe-mcp

cd ~/tools/adobe-mcp && npm install

point your client at: node ~/tools/adobe-mcp/server.mjs

Premiere Pro only: the ppro_* tools need the bundled CEP panel installed once — copy cep/mcp-bridge to ~/Library/Application Support/Adobe/CEP/extensions/ and enable PlayerDebugMode (see Notes), then open Window → Extensions → MCP Bridge inside Premiere.

Hook up to your MCP client

This is a standard stdio MCP server — any MCP-capable client can drive it (Claude Code, Claude Desktop, Cursor, Windsurf, VS Code Copilot agent mode, Zed, Cline, Goose, ...). Everything below is the same one-liner expressed in each client's config format: run npx -y @ajsmonty/adobe-mcp over stdio (or node .../server.mjs for a source checkout).

Claude Code
claude mcp add --scope user adobe -- npx -y @ajsmonty/adobe-mcp

--scope user = available in all projects; use --scope project from inside a repo to share via .mcp.json with your team. Verify: claude mcp list.

Claude Desktop

Settings → Developer → Edit Config, add to claude_desktop_config.json:

{

"mcpServers": { "adobe": { "command": "npx", "args": ["-y", "@ajsmonty/adobe-mcp"] } } }

Fully quit and reopen Claude Desktop.

Cursor

Settings → MCP → Add server, or edit ~/.cursor/mcp.json (global) / .cursor/mcp.json (per-project):

{

"mcpServers": { "adobe": { "command": "npx", "args": ["-y", "@ajsmonty/adobe-mcp"] } } }

Enable it under Settings → MCP, then use Agent mode (composer) — tool calls appear with approval prompts.

VS Code (Copilot agent mode)

.vscode/mcp.json in the workspace (or user mcp.json via the "MCP: Add Server" command):

{

"servers": { "adobe": { "type": "stdio", "command": "npx", "args": ["-y", "@ajsmonty/adobe-mcp"] } } }

Windsurf

~/.codeium/windsurf/mcp_config.json — same mcpServers shape as Claude Desktop/Cursor above.

Anything else

If the client supports MCP over stdio, point it at npx -y @ajsmonty/adobe-mcp and you are done.

Client caveats
  • macOS Automation permission is per host app. The first tool call from each new client (Cursor, VS Code, a different terminal) triggers its own Automation prompt for controlling the Adobe apps — approve it once per host in System Settings → Privacy & Security → Automation.
  • Inline image previews (ae_save_frame, ps_save_preview, ai_save_preview, ppro_save_frame) return MCP image content. Claude clients and Cursor render these inline; clients without image rendering still get the metadata text, and the model can fall back to exporting a file and reading it from disk.
  • Server instructions (the working rules + knowledge-base pointers) are sent via the MCP instructions field; most clients pass them to the model, but if yours does not, the same rules are baked into the tool descriptions and knowledge_search.

Script library ("skills")

Drop .jsx / .jsxbin files into scripts/ — they're immediately available via list_ae_scripts / run_ae_script.

  • Action scripts (operate on the current selection, no UI) run headlessly — set up selection first via run_extendscript.
  • ScriptUI panel scripts open their palette in the AE window for a human to click.
  • Plain .jsx panels with a separable core function can often be driven headlessly by evaluating the source with the UI kickoff stripped.

⚠️ scripts/ may contain third-party/purchased tools. Keep this repo private unless you've cleared redistribution rights, or add scripts/ to .gitignore.

Notes

  • AE app auto-detected from `/Ap

Solo se muestra el principio; lee el resto en el repo

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