Resolve documentation ownership, edit roots, checks, and human handoffs before an agent edits code.
Nothing to run from here
Flow Learning System is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
93/100
trust score
13
tools declared
local
runs on your machine
49
downloads
What it does
Build motion-graphics lessons with sentence-synced TTS for any subject: one sentence, one scene.
Quickstart
Install it the way its author documents:
1. Download flow-learning-system-0.1.0.mcpb and open it in Claude Desktop or another client that installs MCP bundles (.mcpb)
2. Its sha256 is 27fb678e69de22c186989fa3541b6fdedc24dbdcfe3f688bdd3c4d468ade4fe3
The full guide: https://github.com/ghlee0786/flow-learning-system/releases/download/v0.1.0/flow-learning-system-0.1.0.mcpb
Publishernot claimed
GHAll 1 server
ghlee07861 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Flow Learning System as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Install it the way its author documents:
1. Download flow-learning-system-0.1.0.mcpb and open it in Claude Desktop or another client that installs MCP bundles (.mcpb)
2. Its sha256 is 27fb678e69de22c186989fa3541b6fdedc24dbdcfe3f688bdd3c4d468ade4fe3
The full guide: https://github.com/ghlee0786/flow-learning-system/releases/download/v0.1.0/flow-learning-system-0.1.0.mcpb
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
레슨 JSON 형식(op, 장면 옵션, 위젯), 모션 규칙, TTS 문장 쓰는 법을 담은 가이드. 레슨을 쓰기 전에 읽으세요.
Takes no parameters.
새 코스 폴더를 만듭니다. code_lang: csharp | python, voice: F1~F5, M1~M5.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| title | string | yes | — |
| subtitle | string | no | — |
| code_lang | string | no | — |
| voice | string | no | — |
코스의 레슨 목록, 장면 수, 형식 문제 수, 음성 상태를 보여 줍니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
레슨 JSON 하나를 그대로 돌려줍니다(고쳐 쓸 때).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson_id | integer | yes | — |
레슨 JSON을 검사하고, 오류가 없으면 lessons/NN.json으로 저장합니다(같은 id면 덮어씀).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson | object | yes | — |
레슨 형식을 검사합니다(없는 코드 줄, 모르는 op·위젯, 읽기 어려운 단어 등). lesson_id를 비우면 전체.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson_id | integer | no | — |
장면마다 TTS가 실제로 읽을 문장을 보여 주고, 영어 단어처럼 읽기 어려운 조각을 표시합니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson_id | integer | yes | — |
영어 단어의 한글 읽기를 코스에 등록합니다. 예: word="Dictionary", reading="딕셔너리".
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| word | string | yes | — |
| reading | string | yes | — |
코드 블록을 실제로 컴파일·실행해 화면 콘솔 출력(out/write)과 같은지 확인합니다. C#은 mono 또는 dotnet, Python은 python.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson_id | integer | no | — |
Supertonic TTS로 레슨 음성(audio/lNN.mp3)과 문장별 시각표(timing.json)를 만듭니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| lesson_id | integer | no | — |
| voice | string | no | — |
| force | boolean | no | — |
Blender로 3D 장면을 렌더해 assets/<name>.png 와 핫스폿 좌표를 만듭니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| name | string | yes | — |
| script | string | yes | — |
| width | integer | no | — |
| height | integer | no | — |
| samples | integer | no | — |
코스의 이미지와 각 이미지의 핫스폿 이름·좌표(0~1)를 보여 줍니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
한 파일짜리 HTML 플레이어(dist/index.html)와 음성 파일을 만듭니다. 음성이 없는 레슨은 소리 없이 예상 시간으로 진행합니다.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| course_dir | string | yes | — |
| out_dir | string | no | — |
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Flow Learning System or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 93 / 100
Release 0.1.0 · scanned 28 Oct 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score93
Findings6 threat · 3 capability
Capabilityhigh
Coveragesource
Verificationrepo
Surface digest66198a3fc4fdb72018ec387233e8ddd365f4e4ab5e23ba3490bdf73b85d06525
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (13 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| authoring_guide | no tags | |
| course_init | no tags | |
| course_status | no tags | |
| lesson_get | no tags | |
| lesson_save | no tags | |
| lesson_validate | no tags | |
| speech_preview | no tags | |
| pronunciation_add | no tags | |
| code_verify | no tags | |
| audio_synthesize | no tags | |
| render_3d | code-exec | code-exec: parameter "script" |
| assets_list | no tags | |
| course_build | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest66198a3fc4fdb720
Scanned2026-10-28
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
It installs from its repository rather than from a versioned package, so the command cannot be pinned to a release. The history below is for reading; the current release on file is 0.1.0.
0.1.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Flow Learning System can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.