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Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:47:40 PM

Editmamei

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View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website

Photoshop MCP server: natural-language AI photo editing with your own Photoshop. AI orchestration.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "editmamei": {
      "command": "npx",
      "args": [
        "-y",
        "editmamei"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Editmamei

Unlock Photoshop with natural-language photo editing. AI orchestration, not generation.

Independent project, not affiliated with or endorsed by Adobe Inc.

npm version CI License Platform

Editmamei is a Model Context Protocol (MCP) server that drives the Adobe Photoshop you already have. You describe the edit in plain words, your AI assistant plans the steps, and your own copy of Photoshop carries them out with its standard adjustment layers, masks, selections, and filters. The AI directs and Photoshop edits. No generative model touches your pixels, and no image is uploaded to perform an edit.

It serves photographers and retouchers who want to edit by conversation just as much as developers wiring Photoshop into an AI pipeline. To learn more or get started, visit editmamei.com.

editmamei.com · Docs · Report a bug

How it works

Editmamei is a pure MCP stdio server written in Node. Your AI client launches it as a subprocess and calls its tools over stdio. Each tool builds a small Photoshop script and runs it in your local Photoshop over the platform's native automation channel:

Code
AI client  ──stdio──▶  Editmamei (Node MCP server)
                              │  builds a Photoshop script per tool call
                              â–¼
                    COM (Windows) / AppleScript (macOS)
                              │
                              â–¼
                     Your local Adobe Photoshop
  • Windows drives Photoshop through COM (the Photoshop.Application object).
  • macOS drives it through AppleScript / OSA.
  • Perception (face, object, and scene detection) runs on-device with local ONNX computer vision, so the model gets real document coordinates without your image leaving the machine.

Photoshop does the pixel work with its own engine. Editmamei is the conductor, not a renderer.

Install

Terminal
npm install -g editmamei
editmamei install   # registers with Claude Desktop, Cursor, Claude Code
editmamei status    # confirms install state + Photoshop detection

Then restart your AI client and ask it: "Is Photoshop connected?"

Prefer not to use a terminal? Claude Desktop users can install the one-click .mcpb extension directly (no system Node required, Claude Desktop ships its own runtime). Full walkthrough in the install guide.

Requirements: Adobe Photoshop 2026 (v27.x), Windows 10/11 or macOS 13+, Node.js 22+ (for the npm path), and an MCP-compatible AI client (Claude Desktop, Cursor, Claude Code).

A session, end to end

The discovery chain is ps_ping (liveness), then ps_overview (the working method and capability map), then tools/list (the full schema-typed inventory). After that you just talk to your assistant:

"Open my vacation photo." "Make the sky more dramatic but keep the foreground natural." "Sharpen the eyes, soften the skin, leave everything else alone." "Isolate the subject onto its own layer with a clean mask." "Export a 2048px web JPEG."

Your assistant composes those into tool calls, checks the result with previews and measurements, and iterates.

Design principles

These are the choices that shape the surface, and the reason an AI assistant can drive it reliably rather than hopefully.

  • Structured results, not prose. Every tool declares an outputSchema and returns a typed JSON payload. Any tool that changes what is active reports the current document and layer back, so the model keeps an accurate picture of Photoshop's state between calls instead of re-deriving it.
  • Guidance lives in the surface. ps_overview returns the working method (assess, plan, enact, check, iterate) and ps_list_capabilities returns a live map of what exists. The model orients itself from the server rather than from guesswork or a stale prompt.
  • Measure, don't eyeball. A dedicated set of verification tools (histogram, region compare, layer-bounds diff, selection preview) lets the model check its own work numerically instead of trusting a thumbnail.
  • On-device perception. Local computer vision (ONNX) detects faces, objects, and scene regions and returns real document coordinates. The image stays on your machine for this step and is never sent to a cloud vision model.
  • Non-destructive by default. Adjustments are adjustment layers, and destructive pixel operations run on an auto-created duplicate. An edit is reversible by construction.
  • Verified against real Photoshop. Every tool is built on Photoshop's own native scripting functions and verified in live Photoshop sessions before it ships. A new tool stays disabled until it has passed live verification, so the shipped surface is the verified surface.
  • Built for modern Photoshop. Editmamei targets Photoshop 2026 (v27.x) so it can rely on current, stable scripting descriptors rather than carrying a decade of drifted behavior.

Tool surface

82 tools across 16 capability groups (62 Community, 20 Pro). Every tool is namespaced ps_* and discoverable at runtime via tools/list. Community tools ship in both editions; Pro tools unlock with a license.

GroupEditionTools
CoreCommunityping · overview · list_capabilities · undo · redo · report_problem
InspectCommunityinspect · get_preview
VerifyCommunityget_histogram · compare_regions · get_layer_bounds_diff · get_selection_preview
Document & canvasCommunitydocument · create_document · open_document · close_document · save_psd · export · place_image · resize_image · crop_document · convert_image_mode · transform_canvas · guides
SelectionCommunityselect · modify_selection · selection_channel
AdjustmentsCommunityadd_adjustment_layer · apply_adjustment
FiltersCommunityfilter
RetouchCommunityretouch
LayersCommunitycreate_layer · delete_layer · fill_layer · add_fill_layer · select_layer · move_layer_to_position · duplicate_layer · copy_to_new_layer · convert_to_smart_object · rasterize_layer · set_layer · merge · bake_layer · add_layer_style · transform_layer · shape · group
Masks & pathsCommunitylayer_mask · clipping_mask · path · vector_mask · apply_image · calculations
TypeCommunitytext
PerceptionCommunitydetect · read_scene · select_by_reference
AI selectionCommunityselect_subject · select_sky · replace_sky
AutomationCommunitysequence
AI selectionProselect_subject_instance · select_object
FiltersProapply_camera_raw
Layers (warp)Prowarp_layer
PerceptionProedit_object · add_text_to_object · resolve_placement
Face meshProdetect_landmarks · select_face_feature
TemplatesProtemplate_create_evidence · template_save · template_list · template_apply · template_verify · template_recall · template_delete
AutomationProlist_actions · play_action · execute_script · batch

Editions

  • Community is free and covers the everyday editing surface: documents, layers, selections (including AI Select Subject and Select Sky), non-destructive adjustments, filters, masks, type, retouching, on-device perception, and the inspect/verify primitives.
  • Pro adds Camera Raw develop, the grounded precision tools (warp, named-object masks, precision placement), subject-instance targeting, face-mesh perception, the reproducible-template system, and Photoshop Actions plus the scripting escape hatch.

The split is detailed in pro-features.md. Pricing is at editmamei.com.

This repository holds the Community source. Pro is a separately licensed module and its source is not published here; Community never imports it, so this tree builds and runs on its own.

Build from source

bash
git clone https://github.com/editmamei/editmamei.git
cd editmamei
npm install
npm run build
npm test

You need Node.js 22+ and Go 1.21+ (the build compiles the editmamei-core binary that generates Photoshop scripts; it needs Go 1.27, which Go fetches for you from 1.21 on). The build warns instead of failing when Go is missing, so you can still run the test suite; set EDITMAMEI_CORE_BIN to a prebuilt binary if you would rather not install Go.

The test suite runs without Photoshop. It verifies the ExtendScript Editmamei generates, never that Photoshop accepted it, so live verification against a real Photoshop is a separate step.

Contributions are welcome. Start with CONTRIBUTING.md, which covers the CLA, the branch and pull-request flow, and what to include in a bug report.

Configuration

Settings live in ~/.editmamei/settings.json, managed by the editmamei config CLI:

bash
editmamei config list
editmamei config set telemetry.usage false      # turn off anonymous usage telemetry
editmamei config set ps_path "/path/to/Photoshop"

PHOTOSHOP_PATH (env var) overrides Photoshop auto-detection for a single run.

Privacy

Read the full README →View source on GitHub →

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Frequently Asked Questions about Editmamei

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "editmamei": { "command": "npx", "args": ["-y", "editmamei"] } }

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
31Quality signal: Emerging · 31/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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