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SpaceSheepBoy

justcaptions

by SpaceSheepBoy
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Python
Hybrid

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      Enables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.
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    • video-workflow-mcp

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    • Video Caption MCP Server

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      An MCP server that automatically transcribes video content and burns stylized captions directly into the video file. It leverages the Groq Whisper API for fast transcription and supports multiple visual styles tailored for social media and professional content.
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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

    A3.7/5.0

    Scored across 12 tools

    Disambiguation4/5

    Each tool has a distinct action+resource: preview_style vs caption_video, get_job vs list_jobs, and cancel_job vs resume_job are clearly separated by description. The only mild overlap is check_environment vs get_usage, both touching API-key/cloud concerns, but their descriptions distinguish diagnostics from billing. An agent can reliably pick the right tool.

    Naming Consistency5/5

    All 12 tools follow a uniform snake_case verb_noun pattern (check_environment, list_styles, get_job, cancel_job, resume_job, estimate_video, etc.). The convention is applied consistently with no camelCase or stylistic drift. Highly predictable.

    Tool Count5/5

    Twelve tools sit squarely in the well-scoped 3-15 range, and each earns its place across config (list_styles/list_fonts), diagnostics (check_environment), execution (caption_video), lifecycle (get_job/list_jobs/cancel_job/resume_job), cost (get_usage/estimate_video), and demo (run_demo). No redundancy or filler.

    Completeness4/5

    The surface covers the full captioning lifecycle: discovery (styles/fonts/environment), estimation, creation, polling, cancellation, and resumption, plus a cost-free demo. The only notable gap is a delete/cleanup operation for finished jobs, which agents could work around but would round out the surface.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources