SaC — Software as Content

Name: SaC — Software as Content
Author: Software-As-Content

by Software-As-Contentversion 0.1.2i★ –iRuns on your computer

Registry nameai.dynsoft/sac

Install

Overview

Description from the maker (original English)

Give your AI agent the ability to respond with live, interactive apps that evolve.

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 checksi0 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: Other
You need to fill in: SAC_API_KEY, SAC_SEARCH_API_KEY

Install

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

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: SAC_API_KEY, SAC_API_BASE, SAC_MODEL, SAC_SEARCH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx 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": {
    "sac": {
      "command": "uvx",
      "args": [
        "sac-sdk"
      ],
      "env": {
        "SAC_API_KEY": "your-value",
        "SAC_API_BASE": "your-value",
        "SAC_MODEL": "your-value",
        "SAC_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add sac --env SAC_API_KEY=your-value --env SAC_API_BASE=your-value --env SAC_MODEL=your-value --env SAC_SEARCH_API_KEY=your-value -- uvx sac-sdk

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sac": {
      "command": "uvx",
      "args": [
        "sac-sdk"
      ],
      "env": {
        "SAC_API_KEY": "your-value",
        "SAC_API_BASE": "your-value",
        "SAC_MODEL": "your-value",
        "SAC_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "sac": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sac-sdk"
      ],
      "env": {
        "SAC_API_KEY": "your-value",
        "SAC_API_BASE": "your-value",
        "SAC_MODEL": "your-value",
        "SAC_SEARCH_API_KEY": "your-value"
      }
    }
  }
}

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.

Values you fill in

SAC_API_KEY secret required env
API key for the LLM provider (OpenRouter, Anthropic, OpenAI, etc.)
SAC_API_BASE env
Custom API endpoint for OpenAI-compatible providers
SAC_MODEL env
Override the default generation model
SAC_SEARCH_API_KEY secret env
Tavily API key for web search in generated apps

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 6, 2026

! Caution
Maker matches the repo
The publisher (dynsoft.ai) is not the repo owner (Software-As-Content); someone else may have listed it
… 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 Otheri

More stars than 0% of the other 32441 servers in this category
Published to the registry more recently than 10% of the other 32441 servers in this category
Basic checks equal to or better than 34% of the other 32441 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 SaC — Software as Content safe?

It passed 0 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?

You need to fill in: SAC_API_KEY, SAC_SEARCH_API_KEY

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 (0.1.2) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Intervals MCP

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday

Install

Intervals MCP

by ljcl

Remote MCP server for intervals.icu run data and analysis

Runs on your computerUpdated today

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.

SaC SDK

Interaction layer between you and your agents.

AI agents can reason, code, and call APIs — but when they need to communicate back to you, all they have is text. SaC (Software as Content) is the missing interaction layer: your agent responds with a live, persistent, interactive app that evolves as the conversation continues. Not a screenshot, not a markdown wall — a real UI you click, explore, and shape together with your agent.

Quickstart

1. Install

pip install sac-sdk

2. Run

sac serve

First time? It'll ask for your API key and save it. Then open http://localhost:18420, type *"3-day Tokyo trip planner with budget"*, and watch a live React app stream in. Click buttons. Ask it to evolve. This is SaC running a built-in agent loop — no external agent needed.

Connect to your agent

SaC plugs into the agent you already use — through MCP, Skill, or code.

Claude Code (MCP)

pip install sac-sdk

sac setup claude-code # registers SaC as an MCP server

Restart Claude Code. Then try:

*"Help me understand this codebase using a visualized and interactive app using SaC MCP."*

Setup details →

Codex (Skill)

pip install sac-sdk

sac setup codex # installs the SaC skill sac serve # keep running in a terminal

Setup details →

OpenClaw (Skill)

pip install sac-sdk

sac setup openclaw # installs the SaC skill sac serve # keep running in a terminal

Setup details →

Python (build your own agent)

from sac import SaC

sac = SaC() conv = sac.conversation() app = await conv.generate("3-day Tokyo itinerary") print(app.url) # user opens this

app.code contains the generated TSX

How it works

Your agent ──▶ SaC ──▶ User sees a live app at a URL

◀── User clicks a button / types a message Your agent ──▶ SaC ──▶ Same URL, app evolves in place ◀── ...

One URL, one conversation. The agent doesn't generate a new page every turn — it evolves the existing app. Users keep their context; the agent keeps its state.

Two channels, one loop: every response is either a UI update (the app evolves) or a chat reply (a text bubble). Users can click buttons in the app OR type in the chat — both go back to the agent through the same callback.

When to use SaC

SaC is for tasks where exploration and interaction matter more than a final answer.

Good fit: trip planning, data analysis dashboards, comparison shopping, project planning, research, financial reviews, decision aids, internal tools

Not the right tool for: simple Q&A, one-shot automations ("set an alarm"), conversations that are purely text

Customize

Every layer is pluggable:

from sac import SaC, FileStore

sac = SaC( llm=YourLLMProvider(...), # any class implementing LLMProvider search=YourSearchProvider(...), # any class implementing SearchProvider store=FileStore(".sac"), )

Prompts live in src/sac/runtime/prompts/ and the default design system is in src/sac/renderer/design-systems/default/.

Architecture

src/sac/

├── sac.py / conversation.py Entry + Conversation primitive ├── runtime/ Generate + Evolve pipeline, prompts, providers ├── server/ │ ├── http/ FastAPI + SSE streaming + viewer │ └── mcp/ MCP stdio server (Claude Code integration) └── renderer/ iframe sandbox + design system

Full architecture →

Project status

v0.1.2 — alpha. The core protocol (generate → evolve → callback loop) is stable and runs in production at sac.dynsoft.ai. The SDK surface is being polished toward v1.0.

Contributing

Issues and PRs welcome. Highest-leverage contributions right now:

Prompt improvements in src/sac/runtime/prompts/
Design system contributions in src/sac/renderer/design-systems/

For local dev: pip install -e .

License

Apache-2.0

SaC — Software as Content

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Intervals MCP

README from the maker

SaC SDK

Interaction layer between you and your agents.

Quickstart

1. Install

2. Run

Connect to your agent

Claude Code (MCP)

Codex (Skill)

OpenClaw (Skill)

Python (build your own agent)

app.code contains the generated TSX

How it works

When to use SaC

Customize

Architecture

Project status

Contributing

License