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local-mmcp

by rorojiao
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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

    A4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a distinct purpose: gui_observe/gui_act for GUI control, vision_* tools for image analysis with explicit separation (inspect, crop_verify, diff), and doc_parse/audio_transcribe/video_index for media processing. The vision tools even include usage warnings to prevent misselection.

    Naming Consistency5/5

    All tools follow a consistent <domain>_<verb> pattern (e.g., gui_observe, vision_inspect, doc_parse, audio_transcribe, video_index, health_check). No mixed casing or verb-style inconsistency.

    Tool Count5/5

    9 tools is well within the ideal range for a multimodal toolkit, covering GUI automation, vision analysis, document parsing, audio transcription, video indexing, and health checks without unnecessary bloat.

    Completeness4/5

    The surface covers the core modalities (vision, audio, video, documents, GUI) and includes a health check utility. Minor gaps exist, such as no separate GUI session management tool, but the core workflows are well supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources