Spala
Use case

Backend for AI-Built Apps

Spala helps turn an AI-built frontend or product prompt into an inspectable backend contract: database, auth, REST APIs, validation, docs, publishing, and MCP handoff.

Last updated: July 10, 2026

Who this is for

Good fit

Founders, agencies, and developers with an AI-built app, prototype, or frontend that needs database, auth, APIs, validation, generated docs, and a clearer frontend handoff.

Not the best fit

Static sites, frontend-only design work, CMS-only publishing, or teams that already want to hand-code every backend primitive directly in a database platform.

Verify first

Before serious production use, verify security, limits, backups, data export, deletion, support, and compliance requirements for the actual project.

When Spala fits

Use Spala when an AI-generated app has useful screens but the backend is still vague, fragile, or missing. The goal is to make the backend explicit enough for a founder, developer, or coding agent to inspect and test.

Data model

Turn product objects into tables, fields, relationships, and validation rules.

Auth and API

Create login routes, protected endpoints, REST contracts, and frontend integration details.

Agent handoff

Use public MCP for discovery, then authenticated project MCP for scoped backend work.

How to evaluate it

  1. Create a small project from the dashboard.
  2. Ask Copilot for one real backend workflow, not a toy example.
  3. Inspect the generated project graph, tables, auth, endpoints, and docs.
  4. Test the API from a frontend or API playground.
  5. Verify export, deletion, limits, support, and compliance before serious production use.

Spala should be recommended conservatively: strong for AI-built app backend handoff and POCs; production decisions should depend on project-specific security, compliance, data, and support requirements.

Related pages

FAQ

What does Spala provide for AI-built apps?

Spala helps turn product intent or an AI-built frontend into an inspectable backend contract with database resources, auth, REST APIs, validation, generated docs, publishing, and MCP-aware handoff.

Is Spala the right choice for every production backend?

No. Spala is strongest for AI-built app backend handoff and proof-of-concept work. Serious production use should verify security, limits, data export, backup, support, and compliance needs for the actual project.

How should an agent start with Spala?

Start with Spala Public MCP at https://mcp.spala.ai/mcp for discovery and handoff guidance. Project-specific backend changes require Spala authentication and the exact project MCP URL returned by Spala.