Flow Learning System
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- AlicenseNot gradedqualityBmaintenanceEnables teachers to turn plain-language teaching requests into interactive HTML demos and Mannim-rendered narrated animations through a confirm-once workflow, with automatic lesson design, generation, review, and revision. Shares a local work library with the standalone web workbench so finished lessons can be exported as offline HTML, MP4, or ZIP packages.MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that lets coding agents drive the full PDF-to-lesson pipeline — ingesting, planning, storyboarding, translating, narrating, QA-ing and exporting — or author lesson beats themselves while the server validates and renders them. It enables agents to produce offline, animated, narrated, interactive books with in-picture questions.1Apache 2.0

Cueflow MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables AI assistants to author, validate, and preview narrated, animated UI walkthroughs from static HTML scene kits, producing self-contained multilingual HTML guides without recording video.378 npm2MIT- FlicenseAqualityBmaintenanceEnables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.4115-
- AlicenseNot gradedqualityDmaintenanceEnables creating 3Blue1Brown style math animations from text descriptions, PDFs, or images. Supports rendering educational videos for math and physics topics.27MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLM agents to generate and validate multi-granularity storyboard assets from text prompts, including 2D SVG motion, 3D Blender depth/blockout, and SDXL ControlNet final images. It also supports vision-based self-correction and a SQLite knowledge database of successful recipes.MIT
TDQS
Scored across 13 tools
Each tool maps to a distinct stage of the authoring pipeline (init → guide → lesson_get/save/validate → speech_preview/audio_synthesize → render_3d → course_build), so selection is mostly unambiguous. Minor overlap exists between lesson_validate and lesson_save (which also validates), and between speech_preview and audio_synthesize (both deal with TTS text/audio).
The dominant convention is noun_verb (lesson_get, lesson_save, lesson_validate, course_init, course_build, course_status, assets_list, speech_preview, pronunciation_add, code_verify, audio_synthesize), which is predictable. Deviations are small: render_3d is verb-first and authoring_guide has no verb at all.
13 tools is well within the ideal range and each covers a discrete authoring concern (course scaffolding, lesson CRUD/validation, speech, 3D assets, build, status, docs). No obvious filler tools or redundant wrappers.
The lesson and course lifecycle is well covered: init, get, save, validate, status, build, plus speech and asset generation. Gaps are minor but real — there is no lesson delete/list-by-id beyond course_status, no way to remove or inspect registered pronunciations, and no asset deletion tool.