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    Related Servers

    • 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.
      1
      MIT
    • A
      license
      A
      quality
      D
      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.
      34
      128 npm
      42
      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
      107 npm
      MIT
    • A
      license
      C
      quality
      A
      maintenance
      Enables AI agents to perform structured, semantic artwork editing in GIMP 3 through session-based tools for layers, selections, text, transforms, non-destructive filters, previews, and image export, backed by snapshot undo/redo and XCF-persisted sessions. It also offers a live control center and operation event timeline for observing and managing edits, plus PDB search for expert discovery.
      61
      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 issues