Hs

Name: Hs
Author: superlcr

by superlcrversion 0.2.4i★ –iRuns on your computer

Registry nameio.github.superlcr/hs

Install

Overview

Description from the maker (original English)

Turn a script into a finished video with Huasheng: storyboard, narration, footage, export.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "hs": {
      "command": "npx",
      "args": [
        "-y",
        "@superlcr/hs",
        "mcp",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add hs -- npx -y @superlcr/hs mcp serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "hs": {
      "command": "npx",
      "args": [
        "-y",
        "@superlcr/hs",
        "mcp",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "hs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@superlcr/hs",
        "mcp",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account superlcr, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2189 servers in this category
Published to the registry more recently than 28% of the other 2189 servers in this category
Basic checks equal to or better than 100% of the other 2189 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Hs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.4) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

Install

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

hs · Huasheng CLI

From one sentence to a finished, publishable video

简体中文 · English

hs brings Huasheng's video creation pipeline to the command line. Give it a sentence or a script, and it handles storyboarding, narration, footage and composition — producing a video you can export or publish directly. You can step in and adjust at any point along the way.

A single self-contained binary. No Node, no Python, no runtime to install. Every command supports --json, designed for scripts and AI clients.

Step 1: install and sign in

Do this once, regardless of which client you use later.

Install

Pick whichever suits you — all three give you the same binary.

macOS / Linux

curl -fsSL https://raw.githubusercontent.com/superlcr/huasheng-cli/main/install.sh | sh

Windows, in PowerShell:

irm https://raw.githubusercontent.com/superlcr/huasheng-cli/main/install.ps1 | iex

Either installer downloads the package for your platform, verifies its SHA256, and extracts it to ~/.local/bin (%LOCALAPPDATA%\Programs\hs on Windows).

With npm, if you already live in the Node ecosystem or just want to try it first:

npx @superlcr/hs --help

npm install -g @superlcr/hs # the command is still hs

The npm package is a small launcher; the binary for your platform arrives as an optional dependency, so nothing is downloaded or compiled at install time.

Manual download instead of the installer

Grab the package for your platform from Releases, extract it, and place the executable anywhere on your PATH:

Platform	File
macOS · Apple Silicon	`hs-darwin-arm64.tar.gz`
macOS · Intel	`hs-darwin-x64.tar.gz`
Linux · x64	`hs-linux-x64.tar.gz`
Windows · x64	`hs-windows-x64.zip`

Every release ships a SHA256SUMS file. Verifying it is recommended:

shasum -a 256 -c SHA256SUMS

Both macOS packages are signed and notarized by Apple (Developer ID Application).

The Windows package is unsigned; SmartScreen may prompt on first run — choose

"More info → Run anyway".

Sign in

Open a new terminal, sign in, and confirm that hs can read your credit balance:

hs auth login

hs account

The CLI and every AI client share ~/.hs/credentials.json; you do not sign in separately.

No browser on that machine (SSH, a cloud server, a container)? Run hs auth login --no-browser, open the address it prints on any device, approve, and paste back the address the browser lands on (it starts with http://127.0.0.1 and will not load — that is expected).

Step 2: choose how you use it

Both paths use the same hs binary and the same sign-in — pick either, or both.

Option 1: use hs CLI directly

Use this path for exact commands, scripts, or batch jobs. hs make can start from one sentence or a complete script, run the creation workflow, wait for the finished video, and download it.

Create a video from one sentence:

hs make --script "Three little-known facts about West Lake" --out ./out.mp4

Request an MG-style video:

hs make --script "Explain Song dynasty tea whisking in 30 seconds" --mode mg --out ./tea.mp4

Read a long script from a file:

hs make --script @script.txt --out ./video.mp4

Or start from your own narration recording — a file on your computer or a public URL:

hs make --audio ./narration.m4a --out ./video.mp4

hs make --audio ./narration.m4a --transcript @words.txt --out ./video.mp4 # if you have the words

Huasheng keeps your voice and cuts footage to it. The transcript is optional; without it, Huasheng transcribes the recording. Supported formats are mp3, wav, flac, mp4 and m4a; hs uploads the file itself and you never need an internal storage address.

hs make approves the storyboard for you — that spends credits, and it prints how many. To read the storyboard and its price first, use the step-by-step commands instead. See the hs CLI guide for parameters, step-by-step editing, resuming, and exporting. See Scripting and automation for JSON, exit codes, and batches.

Option 2: use hs through MCP in an AI client

hs includes an MCP server. Any AI client that supports local STDIO MCP can launch it with:

"mcpServers": { "huasheng": { "command": "hs", "args": ["mcp", "serve"] } } }

This configuration simply tells the client to run hs mcp serve when Huasheng is needed. There is no separate hs MCP package to install, and you should not keep the command running yourself. If the client cannot find hs, replace command with the full path from which hs (where hs on Windows).

The following are setup examples for four common clients. For any other MCP client, enter the same command and args in its MCP server settings.

ChatGPT Desktop App

Open Settings → MCP servers → Add server
Enter huasheng and choose STDIO
Set Command to the full path to hs; add mcp and serve as the two arguments
Save and restart, then type /mcp and check that huasheng is connected

ChatGPT Desktop renders interactive timeline, preview, footage, and export cards. It shares ~/.codex/config.toml with Codex CLI, so this setup also enables hs there.

Claude Desktop App

Download [huasheng.mcpb](https://github.com/superlcr/huasheng-cli/releases/latest/download/huasheng.mcpb)
Double-click it, then select Install in Claude Desktop
Confirm the path to hs; the default is ~/.local/bin/hs

If you changed the install location, paste the full path from which hs (where hs on Windows). Continue if the first install warns that the extension is unsigned. Claude Desktop also renders interactive cards.

Codex CLI

codex mcp add huasheng -- hs mcp serve

codex mcp list

Do not add it again if you already configured huasheng in ChatGPT Desktop; both read ~/.codex/config.toml. See the OpenAI MCP documentation.

Claude Code CLI

claude mcp add --scope user huasheng -- hs mcp serve

claude mcp list

Both commands run in the same terminal where you just signed in, so plain hs resolves; if your shell cannot find it, substitute the full path from which hs (where hs on Windows). Codex CLI and Claude Code present complete text results instead of desktop interactive cards.

Use it through conversation

After setup, say in your AI client:

Make me a 30-second video about why the sky is blue

You can inspect and refine existing projects too:

List my recent Huasheng projects

Make the narration in clip 2 shorter

Replace clip 3 with more futuristic footage

Use my own file ./b-roll.mp4 for clip 2

Change the narrator to a warmer voice, and tell me the price first

Confirming a storyboard spends credits, and publishing makes the video public. hs marks those and the other one-way tools (deleting a project, footage or a preference, joining the priority lane) as destructive, so a client that confirms destructive tools asks you first; hs itself does not prompt. Changing the voice after production and adding footage to the library spend credits too; the MCP tools quote the price when asked.

Safety boundaries

The CLI and every AI client share one local credential; hs never receives your Bilibili password.
Approving a storyboard spends credits, and publishing goes public. So do changing the voice after production and adding footage to the library, and those credits are not refunded. hs does what the command says and reports the cost; whether you are asked first is up to you, your script, or your AI client.
Scripts, narration recordings, and footage are uploaded to Huasheng for video creation; there is no separate telemetry channel or background updater. The only other connection is a once-a-day check of the latest release number on GitHub, which sends nothing but the hs version and can be turned off.

Upgrading

hs upgrade

For an installer build, this downloads the latest release, checks its SHA256, and swaps it in; for an npm install it runs npm i -g @superlcr/hs@latest. hs never downloads or replaces itself on its own. Once a day it asks for the latest release number and mentions it if yours is older; set HS_NO_UPDATE_CHECK=1 to turn that off.

AI clients that run hs mcp serve keep the old process until they restart. After upgrading, start a new session in Claude Code or Codex, or quit and reopen Claude Desktop; until then the client is still on the old version. Upgrading while a client is running is safe on every platform.

Feedback

Found a problem? Please open an issue and include the output of hs --version — it carries the commit and build time, which is the key to diagnosing anything.

Hs

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

hs · Huasheng CLI

Step 1: install and sign in

Install

Sign in

Step 2: choose how you use it

Option 1: use hs CLI directly

Option 2: use hs through MCP in an AI client

ChatGPT Desktop App

Claude Desktop App

Codex CLI

Claude Code CLI

Use it through conversation

More documentation

Safety boundaries

Upgrading

Feedback