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Capture One AI MCP Server

by iscca

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      Enables vision-capable AI clients to read and adjust Capture One on Windows through an MCP stdio server (plus a JSON CLI), applying exposure, curves, color, layer and mask edits and returning real Capture One-rendered previews. It runs a local bridge to C1's native parameters with no presets, screenshots or synthetic input.
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      An MCP server that enables automating Capture One Pro on macOS, providing tools for reading and editing images, managing layers/masks, recipes, and processing with risk-tiered write gating.
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      Enables AI agents to drive Adobe Lightroom Classic directly — searching and organizing catalogs, reading and writing the full set of develop parameters, building geometric and AI-generated masks (sky, subject, mountains, water, people), applying presets, and rendering previews, histograms, and exports. All capabilities are exposed as 167 MCP tools over a Lua plugin bridge, with write-confirmation sentinels so silently dropped edits surface as explicit errors.
      Apache 2.0

    TDQS

    B3.3/5.0

    Scored across 6 tools

    Disambiguation3/5

    The six tools have broad functional boundaries, but context, read, and operations overlap: context reads workflow/unresolved operations, read reads native parameters, and operations also returns receipts/tasks/analysis. operations is a catch-all that includes restore writes via adjust and compare/checkpoint links to preview, so agents must read carefully to choose correctly.

    Naming Consistency3/5

    All names are lowercase single words, which is visually consistent, but they mix imperative verbs (read, adjust) with nouns (context, images, operations, preview). There is no predictable verb_noun pattern, though the names remain short and readable.

    Tool Count4/5

    Six tools is a reasonable count for a complex photo-editing integration, and each maps to a recognizable phase: context, read, adjust, images, preview, and operations. However, operations bundles far too many distinct actions, so the set is slightly under-segmented rather than over-counted.

    Completeness4/5

    The surface covers app context, parameter reading, structured adjustments, image selection, previews, receipts, and task/brief workflows, which is broad lifecycle coverage for Capture One editing. Minor gaps remain around explicit final export/save, undo/history, and possibly layer deletion, but core workflows are represented.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues