Cradler gives your AI-built app a database, file storage for images, videos and audio, a typed TypeScript SDK, an MCP server, and an Agent Skill — the whole backend, in one service. No SQL. No schema design. No migrations. Made for people who build apps with Cursor, Claude Code, v0, Lovable, and Bolt — and never want to touch a database.
One SDK handles data, files, and everything between. Your AI tool writes these calls for you in a single prompt — you never see SQL, never edit a schema, never write a migration.
// Save data — no SQL, no schema. The table appears on first write.
await cradler.from("posts").insert({ title: "Hello", published: true });
// Upload an image — compressed on-device, served from a global CDN
const { path } = await cradler.storage.upload("covers/sunset.jpg", file, { public: true, compress: true });
// Get a fast, edge-resized thumbnail URL — no extra upload
const thumb = await cradler.storage.getPublicUrl(path, { width: 300 });
// Read it back, with filters and ordering, fully typed
const { rows } = await cradler
.from("posts")
.select()
.eq("published", true)
.order("createdAt", { desc: true });You build apps with Cursor, Claude Code, v0, Lovable, or Bolt. You describe what you want, and the AI writes the code. The one place that still breaks is the backend — the moment you need to store data or let users upload a file, you hit databases, SQL, and migrations. Cradler removes that wall, so you and your AI tool can finish the app without learning any of it.
Data and file storage live in the same SDK. Save any record, upload any image, video, audio or PDF through `cradler.from` and `cradler.storage`. One project, one set of keys, one bill — no second storage service to sign up for. Public files are served over a global CDN with automatic image resizing, so they load fast anywhere.
Save a record and Cradler creates the table. Add a new field and Cradler adds the column. No SQL, no migration files, no ALTER TABLE — the database keeps up with your app on its own, instead of making you maintain it like Supabase and Firebase do.
A typed SDK, per-project generated TypeScript types, an llms.txt, an MCP server, and an Agent Skill. AI coding tools have everything they need to write your integration on the first try — no rounds of fixes.
Browse any table in the dashboard, with image and video columns rendered inline. Click any cell for a full preview. No external storage viewer, no separate schema browser.
Create a project
One click — Cradler provisions an isolated database, file storage, and API keys for you in seconds.
Drop in the SDK
Add @cradler/sdk and let your AI tool write the read, write, and upload calls. The MCP server and Agent Skill make this happen in one prompt.
Ship
The schema evolves with your app, the dashboard previews your data and files, and every database is backed up every day.
Supabase and Firebase are powerful — but they are built for engineers, not for AI builders. Cradler hides every database mechanic and adds AI-native tooling on top.
| What you'd do | Supabase / Firebase | Cradler |
|---|---|---|
| Designing the schema | You write CREATE TABLE | Created automatically on first write |
| Adding a field later | Write a migration, run it | Just save the new field — the column appears |
| Security policies | You write SQL RLS | Toggle in the dashboard |
| AI integration | Generic — your AI tool has to guess your schema | Typed SDK + generated types + MCP server + Agent Skill |
| File storage | A separate service to wire up | Same SDK, same keys, same bill |
| Image loading | Set up a CDN and image transforms yourself | Global CDN + automatic resizing, on by default |
| Browsing your data | Tables only — files live in a separate viewer | Tables + inline image / video previews, in one place |
| Built for | Developers | AI builders who don't write code |
Supabase and Firebase expect you to design the schema, write a SQL migration every time the app changes a field, and write SQL RLS policies to control access. Cradler does all of that for you — and adds a typed SDK, an MCP server, and an Agent Skill so your AI tool gets the integration right the first time. The database stops being a thing you and your AI have to learn.
Cradler is for people who build with AI and don't want to become database engineers — founders, designers, and indie makers shipping real apps without a backend team.
“I shipped my app's whole backend without learning a thing about databases. I told Cursor to use Cradler and it just worked.”
“Having the database and file storage in one place — one SDK, one bill — saved me from wiring up three services I didn't understand.”
“Claude wrote every line of my Cradler integration, and the generated types meant it got the data shape right the first time.”
Supabase and Firebase are built for developers. You design the schema, write a SQL migration every time the app changes a field, and write SQL RLS policies for security. Cradler does all of that for you — tables are created on first write, columns are added when you save a new field, and table permissions are toggles in the dashboard. On top of that, Cradler ships a typed SDK, an MCP server, and an Agent Skill so your AI tool writes the integration correctly on the first try.
Yes — they go through the same SDK as your data. `cradler.storage.upload()` accepts any file type and serves it back over a global CDN. Image and video paths even render as inline previews right in the dashboard's table browser, so you can see what you've uploaded without leaving Cradler.
Create a Cradler project, then add the Cradler SDK to your app and ask your AI tool to wire it up. Cradler ships generated TypeScript types and an MCP server, so the AI tool has everything it needs to connect your app to the database and file storage correctly — usually in one prompt, with no SQL.
Yes. Cradler is a backend you do not need to be a developer to use. You never write SQL, design a schema, or run a migration. Your AI coding tool calls a simple typed SDK, and Cradler runs a real PostgreSQL database underneath.
Nothing — it just works. The first time you save a new field, Cradler adds the column automatically. The first time you save a new kind of record, it creates the table. This is the no-migrations promise: the schema evolves with your app, with no migration to write or run.
Cradler is AI-native by design: a typed SDK, per-project generated TypeScript types, an llms.txt, and an MCP server. AI assistants can read your real data structure, so the code they generate is accurate the first time instead of needing rounds of fixes.
Yes. Every project gets its own isolated database, and every database is automatically backed up every day. You do not have to set up or remember backups — data protection is on by default.
Cradler has a permanent free tier — one project, no credit card — so you can build and launch a small app for free. Paid plans start at $5/month, and one simple bill covers your database, file storage, and usage together, with no separate invoices for separate services.
Ship your app's backend today
Create a project and get a database, file storage, and API keys in seconds. Free to start — no credit card.