claude

tjc-lp-sanzaru

Lightweight multimodal MCP server built with OpenAI API for enhanced Claude Code capabilities.

0 on GitHubupdated 6 months agoai_ml_engineering
/

Plugin tjc-lp-sanzaru from marketplace cascade-ai-ml-engineering in joshuarweaver/cascade-ai-ml-engineering. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (3)

  • prompt-guidance

    How to write prompts for video (Higgsfield — Seedance 2.5, Kling 3.0) and gpt-image models — prompt anatomy (style, scene, camera, action beats, lighting), the reference-image golden rule (describe motion only), duration and model selection, camera/lighting vocabulary. Surface-neutral — applies whet

  • sanzaru-cli

    Generate videos (Higgsfield — Seedance 2.5, Kling 3.0; priced before submit), images (gpt-image-2.5), speech/transcription (OpenAI or ElevenLabs), scripted podcasts (ElevenLabs v4 recommended), and experimental simulated podcasts (realtime agents that actually converse) from the shell with the sanza

  • sanzaru-mcp

    Use sanzaru's MCP tools (create_video, edit_video, extend_video, create_image, generate_image, wait_for, create_audio, generate_podcast, simulate_podcast, view_media …) correctly — which tool for which job, how to wait for async ids in one call instead of polling, model choices, and the mistakes tha

MCP servers (1)

  • sanzaru

    runs: uv run sanzaru

View source on GitHub

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