Skip to main content
Glama

Related Servers

Alternatives to LazyRoom MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents and users to edit images through natural language, performing layered, non-destructive operations like masks, clipping masks, blend modes, filters, generative fill, image-to-image, background removal and upscaling, either locally or via the user's own API keys. Agents can preview rendered results, measure image properties, review their own work and export finished images through 62 tools shared with the editor's UI.
      62
      50 PyPI
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to run cross-platform batch photo-processing workflows—including RAW decoding, adjustments, noise reduction, white balance, LOG restoration, EXIF tagging, deduplication, selection, HTML galleries, folder watching, and presets—through a unified versioned JSON contract. It also exposes MCP tools for processing, suggestions, autopilot, indexing, search, selection, HDR, face blurring, and more.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to process images locally via file paths—converting, resizing, removing backgrounds, smart cropping, upscaling, reading or stripping metadata, and batch processing—without files ever leaving the device.
      MIT
    • 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
      B
      quality
      A
      maintenance
      Enables AI assistants to inspect, convert, resize, crop, merge, extract and OCR local images, PDFs, audio and video entirely on the user's machine. Modules can be toggled individually, and all operations stay within a sandboxed working folder with atomic writes and no data sent anywhere.
      21
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables local agents to browse, import, organize, nondestructively edit, and export photos in a running desktop photo catalog, with revision-checked edits, previews, and batch operations over an authenticated loopback endpoint or bundled stdio adapter.
      MIT

    TDQS

    B3.2/5.0

    Scored across 27 tools

    Disambiguation4/5

    The set has a clear layered architecture: discovery (get_capabilities/list_operations/describe_operations), project lifecycle (open/get_state/edit/history/render/export/save), style (analyze_style/match_style/presets), batch (start_batch/job_status/cancel_job), and a meta-tool layer (list_tools/describe_tool/run_tool). Most tools target a distinct resource+action, but a few pairs are easy to confuse: inspect_image vs analyze_style (both measure tone/colour/grain), and apply_preset vs match_style vs plan_edit all "add steps that create a look". The generic compare utility inside list_tools also overlaps compare_versions.

    Naming Consistency4/5

    The dominant pattern is verb_noun (open_image, edit_project, render_preview, apply_preset, delete_preset, list_presets, match_style), which is easy to generalize from. Deviations are minor: two noun-phrase names (project_history, job_status) and an action/noun split in the batch family (start_batch, cancel_job, job_status). Readable throughout, just not perfectly uniform.

    Tool Count3/5

    27 tools is heavy for a single server and sits above the comfortable 3-15 band. The count is partly mitigated by the meta-tool consolidation (list_tools/describe_tool/run_tool fold dozens of utilities into three entries), but the project/preset/style/batch surface still exposes a lot of individual endpoints an agent must choose among.

    Completeness4/5

    Coverage is broad: open (image or .lazyroom), inspect, edit atomically, history/undo/revert, preview, full-res export, save, presets CRUD, style analysis and matching, batch processing with progress/cancel, and a capabilities manifest. Remaining gaps are modest: no explicit close/discard/delete-project operation, and no direct 'add step by operation id without params lookup' shortcut, but agents can work around both.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues