Build your backend with

Claude Code writes the logic. Xano handles the rest: one set of rules for every agent and a path to production that Xano runs - without the DevOps overhead.

Build with Claude Code + Xano

Built for standardized agent output

Xano’s Developer MCP provides the context needed to channel Claude output into consistent, validated backend patterns ready for production.

Designed to be agent-safe

Use the Xano CLI to spin up isolated environments with a few commands and test against production-grade infrastructure - so you know Claude’s code works, not just that it compiles or passes tests.

Ready for production

Claude can generate your app in minutes. With a clear picture of what got built and enterprise-grade infrastructure, Xano makes it production-ready.

How Can Enterprises Trust Software Built by AI Agents? 3 Requirements for Production

AI can generate apps fast - Xano can help you make them production-ready, reliable, and built to last.

Read the guide

How to build backends with
Claude Code

  1. 1

    Install and connect.

    Set up the Xano CLI and Developer MCP. Pull your workspace locally and keep a backup in Git.

  2. 2

    Prompt and build.

    Open your project in your IDE with Claude Code running in the integrated terminal. Describe what you need - APIs, workflows, data models - and let Claude generate backend logic in XanoScript.

  3. 3

    Validate and ship.

    Push to Xano with the CLI, review what got built in Canvas View, and iterate as your backend evolves.

Terminal running npm install -g @xano/developer-mcp and npm install -g @xano/cliA Xano Function Stack in Canvas View beside the same endpoint in XanoScript
1

Install and connect.

Set up the Xano CLI and Developer MCP. Pull your workspace locally and keep a backup in Git.

2

Prompt and build.

Open your project in your IDE with Claude Code running in the integrated terminal. Describe what you need - APIs, workflows, data models - and let Claude generate backend logic in XanoScript.

3

Validate and ship.

Push to Xano with the CLI, review what got built in Canvas View, and iterate as your backend evolves.

More about XanoScript  

More about the Developer MCP  

Get the Developer MCP from the Xano GitHub repo  

Everything Claude Code needs to ship real backends

Logic in Canvas View

Build and inspect every workflow in Canvas View - transparent, auditable, human-readable.

Managed Postgres

Production-ready PostgreSQL with triggers, relationships, and direct access. No migrations, no DevOps.

API builder

Instant REST APIs with auth, rate limiting, and custom logic. Ready to connect to any frontend or service.

AI-assisted building

Describe your backend. AI builds schemas, APIs, auth, and logic - governed from the start.

Developer MCP + CLI

Build from any IDE or agent. Programmatic access with full governance intact.

Observability & monitoring

Request tracing, performance dashboards, and audit logs across every system.

Environment management

Branch, test, and promote. Git-based versioning so nothing untested reaches production.

RBAC & compliance

HIPAA, SOC 2, GDPR, and ISO compliance with fine-grained access control. Built in from day one.

The backend agents can build and
humans can trust.

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Frequently asked questions

Yes. The Developer MCP reads your existing schemas, endpoints, and logic - so Claude Code works with what you’ve already built, not just greenfield projects. You can start using Claude Code on day one without restructuring anything.

The Developer MCP gives Claude Code structured context about your Xano workspace - your database schemas, API endpoints, existing logic, and platform capabilities. It also teaches Claude Code how to write valid XanoScript using the right patterns, so what it generates isn’t just syntactically correct - it’s architecturally correct. Combined with the CLI, this creates a feedback loop where AI can generate, validate, and deploy backend logic reliably.

The Developer MCP spins up unit tests as it goes, so AI-generated logic is validated in real time. Beyond that, every change can be spun up in its own isolated environment and tested against production-grade infrastructure before anything goes live. You’re never deploying blind.

Yes. Xano’s Developer MCP works with AI-powered IDEs like Cursor and Windsurf, CLI agents like Claude Code and Codex, and any other tool that supports the MCP protocol. It gives them direct access to Xano’s official documentation and the XanoScript language server, so AI-generated backend logic is informed by the platform’s actual rules and constraints, reducing errors before you ever deploy. Teams also build in the Xano editor or in XanoScript by hand - no AI required.

No, but most developers using Claude Code prefer it. The CLI is the bridge between Xano’s platform, Claude Code running locally, and your git workflows - giving you branch management, local testing, and deployment controls in one place.

Yes. The AI generates the logic, but Xano provides the infrastructure - scalable Postgres, auth, background jobs, and automatic deployment. AI-generated code runs on the same production-grade stack as everything else on Xano. Scaling isn’t a code problem here; it’s handled at the platform level.

AI is great at going from zero to one, but sometimes you need more careful control to refine, modify, and extend what was generated. That’s where Canvas View, the code editor, and branching workflows come in - everything Claude Code generates is visible, editable, and portable. You’re never locked into AI-generated output you can’t understand or change.

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