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    Related Servers

    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to drive a full photo-editing engine through validated, non-destructive operations — exposure and colour grading, effects, geometry, text/watermarks, style matching from a reference image, natural-language looks, and batch processing over folders. Originals stay untouched, edits live in an open JSON project format, and everything runs locally without network access unless opted in.
      27
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables external AI agents to programmatically inspect, edit, and export image documents through tools for layers, selections, painting, adjustments, masks, history, and compositing.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Lets MCP clients such as Claude, Cursor or VS Code drive a locally installed image editor from plain-language requests, opening files, building and managing layers, making selections, applying adjustments and filters, and exporting the finished result. It exposes 65 tools covering layers, documents, adjustments, selections, filters, undo/redo state and export formats like PNG, PSD and WebP.
      5
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to perform advanced image editing and graphic design through Photopea, a browser-based Photoshop alternative. Provides 34 tools for document management, layer operations, filters, adjustments, and exports via a WebSocket bridge to the browser.
      1
      46
      160 npm
      49
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to drive a layered raster image editor with painting, shapes, text, filters, and internet-sourced images and fonts via MCP tool calls, with token-efficient rendering and export.
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents to autonomously create and edit graphic designs, multi-page PDF catalogs, brochures, social media assets, and slide decks on a local browser canvas. It provides vision-in-the-loop feedback, layout audits, and export capabilities for print-ready or web-ready outputs.
      53
      121 npm
      MIT

    TDQS

    C2.8/5.0

    Scored across 62 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action, with clear separation between layer operations, effects, masks, canvas, AI, and project management. Overlaps are minimal and descriptions clarify usage (e.g., add_adjustment vs add_effect vs apply_look). Agents can reliably select the right tool.

    Naming Consistency4/5

    Mostly consistent snake_case with verb_noun or verb patterns (add_image, set_layer, list_effects). A few noun phrases (project_info, ai_status) and single verbs (undo, flatten) deviate slightly but remain readable and predictable.

    Tool Count1/5

    62 tools far exceed the typical 3-15 range and the 25+ threshold for 'too many', representing an extreme mismatch for a single MCP server despite the complex domain. The surface is overly broad and likely to overwhelm agents.

    Completeness5/5

    The tool set covers the full image editing lifecycle: project management, layers, effects, masks, canvas, AI features, export, and batch operations. Minor gaps like listing fonts or blend modes are negligible; core CRUD and advanced workflows are complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues