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pixinsight-mcp

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    • pixinsight-mcp

      iftahs
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      Enables AI agents to fully control PixInsight for astrophotography workflows, including calibration matching, WBPP stacking, blink review, and post-processing with visual previews.
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    • PixInsight MCP Bridge

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      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 78 tools

    Disambiguation2/5

    Several tools have genuinely blurred boundaries: save_preview and save_and_show_preview are exact duplicates, the measure_* family has multiple Sobel-based texture/detail/sharpness variants, and run_pjsr/run_pjsr_file plus run_process/run_pixelmath form overlapping fallback clusters. The individual descriptions are detailed, but an agent will struggle to reliably pick between these near-neighbor tools.

    Naming Consistency3/5

    The dominant snake_case verb_prefix pattern (run_*, measure_*, create_*, get_*, list_*) is mostly followed, but there are clear deviations: linear_fit lacks the run_ prefix used by every other process wrapper, pixelmath_new_image sits awkwardly beside run_pixelmath, and several tools lead with the object or adjective (ha_inject_red, lrgb_combine, auto_stretch) rather than a verb. The set is readable but not consistently predictable.

    Tool Count1/5

    At 78 tools this is an extreme count for an MCP surface, even given PixInsight's broad domain. The set contains many narrow near-variants that could be consolidated, such as 14 measure_* functions, multiple narrowband blending tools, and a duplicate preview alias. This volume will overwhelm context windows and make tool selection considerably harder.

    Completeness4/5

    The surface covers the main astro-image processing workflow well: opening images, measuring, stretching, background/color correction, star handling, plate-solving, masking, workspace management, and exporting. A few natural operations such as image calibration, stacking, and resampling are not first-class tools, but run_process, list_processes, and run_pjsr provide workable fallbacks.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources