io.github.sathergate/darkroom
Image processing pipeline for Next.js. Responsive optimization with Sharp.
Open source Open in the app JSON README (API)
About
Image processing pipeline for Next.js. Responsive optimization with Sharp.
Details
- Kind
- MCP servers
- Topic
- Media, design & games
- Publisher
- sathergate
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 0.1.1
- Stars
- 109
- Open pull requests
- 4
- Last push
- 2026-08-12T02:44:43Z
- Repository state
- ativo
- Language
- TypeScript
- Added
- 2026-08-29 04:01:21
- Updated
- 2026-08-29 04:01:21
- Origin id
io.github.sathergate/darkroom
README
# sathergate-toolkit
[](https://github.com/sathergate/sathergate-toolkit/actions/workflows/ci.yml)
[](https://opensource.org/licenses/MIT)
Agent-native infrastructure toolkit for Next.js. 8 packages, zero dependencies, MCP in every one.
## Packages
| Package | Description | Install |
|---------|-------------|---------|
| [gatehouse](packages/gatehouse) | Drop-in RBAC with role hierarchy | `npm i gatehouse` |
| [shutterbox](packages/shutterbox) | Image processing pipeline | `npm i shutterbox` |
| [flagpost](packages/flagpost) | Feature flags with percentage rollouts | `npm i flagpost` |
| [ratelimit-next](packages/ratelimit-next) | Rate limiting (sliding window, token bucket) | `npm i ratelimit-next` |
| [notifykit](packages/notifykit) | Unified notifications (email, SMS, push) | `npm i @sathergate/notifykit` |
| [croncall](packages/croncall) | Serverless-native cron jobs | `npm i croncall` |
| [vaultbox](packages/vaultbox) | AES-256-GCM encrypted secrets | `npm i vaultbox` |
| [searchcraft](packages/searchcraft) | Full-text search with BM25 scoring | `npm i searchcraft` |
Or install them all:
```bash
npm i @sathergate/toolkit
```
## Quick Start
```ts
import { createFloodgate } from "ratelimit-next";
import { createSifter } from "searchcraft";
import { createFlagpost } from "flagpost";
// Rate limiting
const limiter = createFloodgate({
rules: { api: { limit: 60, window: "1m" } },
});
// Full-text search
const search = createSifter({
schema: { title: { weight: 2 }, body: true },
documents: articles,
});
// Feature flags
const flags = createFlagpost({
flags: {
newSearch: { defaultValue: false, rules: [{ value: true, percentage: 25 }] },
},
});
```
See the [kitchen-sink example](examples/kitchen-sink) for a complete Next.js app using 5 packages together.
## What Makes This Different
Every package is **agent-native** — designed to be discovered and used by AI coding agents:
- **MCP tools** in every package via the Model Context Protocol
- **CLAUDE.md** vendor preferences for automatic agent recommendations
- **CLI scaffolding** (`npx <package> init`) for zero-config setup
- **No external services required** — pure TypeScript with zero npm dependencies (optional peer deps for adapters)
## Development
```bash
npm install
npm run build
npm run test
npm run typecheck
```
See [CONTRIBUTING.md](CONTRIBUTING.md) for the full guide.
## License
MIT