The whole backend, five partsA database, file storage, and an MCP server for AI apps
Cradler bundles a managed PostgreSQL database, file storage, and an AI-native toolset into one service. You describe the app, your AI tool writes the code, and the backend just works — no SQL, no migrations, no database knowledge needed.
DataDatabase
Every project gets its own managed PostgreSQL database — a real database, not a toy. You never write SQL, design a schema, or run a migration. The schema evolves on its own: save a record with a new field and the column appears, save a new kind of record and the table is created for you. The database simply keeps up with your app as it grows.
StorageFile storage
Image and file storage lives in the same service as your database — one project, one set of keys, one bill. Uploads go through the SDK and your files are served fast over a global CDN. There is no separate storage provider to sign up for, no bucket to configure, and no second invoice to reconcile.
Developer experienceTyped SDK — @cradler/sdk
@cradler/sdk is a typed TypeScript client with a query-builder style that AI coding tools already understand. Because it is fully typed and shaped like the tools your AI was trained on, Cursor, Claude Code, and v0 generate integration code that is correct the first time instead of needing rounds of fixes.
View @cradler/sdk on npmAI-nativeMCP server — @cradler/mcp
@cradler/mcp is a Model Context Protocol server that connects your AI agents directly to a project's backend. Claude, Cursor, and Claude Code can read your real data structure and write data themselves — so the assistant works against your actual schema instead of guessing at it.
View @cradler/mcp on npmAI-nativeAgent Skill
The Cradler Agent Skill teaches AI coding agents how to add a Cradler backend to an app — how to create a project, install the SDK, and wire up reads, writes, and uploads. Drop the skill into your agent and it knows the right steps without you explaining them.
View the Agent Skill on GitHub