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Screen Vision MCP Server

by avicuna
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Python
Local

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    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

    A3.8/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct source or operation: capture tools differentiate by screen/window/region/camera, watch tools add duration, analyze tools handle files, and informational tools cover context and status. No two tools serve the same purpose.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (e.g., analyze_image, capture_screen). One outlier is 'phone_status', which uses a noun prefix instead of a verb, but the rest are consistent and clear.

    Tool Count5/5

    14 tools is well-scoped for a screen vision server, covering capture, analysis, OCR, context, camera streaming, and video analysis without feeling bloated or sparse.

    Completeness4/5

    The tool set covers core workflows: capture, analysis, OCR, context, and camera integration. Minor gaps like listing windows or managing streams are present but not critical for most use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources