The backend built
for coding agents

The Developer MCP is a bridge between AI coding agents and the Xano platform. It connects tools like Claude Code, Cursor, and Windsurf to official Xano documentation and the XanoScript language server, giving agents the context they need to generate accurate, production-ready backend logic instead of guessing.

Knowledge is a workspace-native library of persistent, team-authored context that tells agents how your team builds. It comes in three forms: a workspace AGENTS.md for always-on rules, docs for on-demand reference, and skills for step-by-step procedures—the same skills and AGENTS.md pattern standard AI coding tools rely on, brought natively into a visual, governed workspace. You can author and manage it three ways—by hand in the Xano UI, through the Xano Agent, or via external coding agents over the Developer MCP—all writing to the same library, with reference files carried per skill. Inclusion modes (always, on demand, or manual) let each skill decide when it enters an agent’s context, so a large library never bloats a session. Every change flows through the same push and commit review as any other agent edit, with full version history, while admins lock and enforce both editing and inclusion. And the same context reaches your local coding agents through the CLI and Developer MCP—so instead of re-explaining your conventions every session, your team’s standards persist and apply repeatably, whatever tool your agents build in.

Yes. Modern AI models learn programming through abstractions—type systems, control flow, data modeling—not by memorizing syntax from millions of examples. That means they can write effectively in any well-documented language, including XanoScript. The Developer MCP takes this further by connecting AI agents directly to Xano’s official documentation and the XanoScript language server, so they can generate backend logic that aligns with the platform’s actual syntax and rules rather than producing generic or hallucinated code. This creates a closed feedback loop where AI can generate, validate, and refine XanoScript before it ever reaches production. The result is faster iteration, fewer structural errors, and AI output you can actually trust.

No. Xano’s visual builder works on its own. XanoScript is designed for teams that want code-level control, AI-assisted development, or advanced logic—without losing the transparency of visual validation.

XanoScript is optimized for AI-generated backend logic. When paired with the Developer MCP, agents can generate solutions grounded in real Xano capabilities, validate syntax before deployment, and catch errors early—reducing risk debugging cycles.

Unlike general-purpose languages, XanoScript enforces an opinionated, standardized structure across APIs, workflows, and services. This prevents logic from becoming fragmented or hidden and keeps systems readable, reviewable, and maintainable as teams scale.

Yes. Developers can write and edit backend logic directly in code, use AI tools when helpful, and validate results visually. The code stays perfectly in sync with Xano’s visual tools for easier debugging and collaboration with non-technical stakeholders.

Not at all. XanoScript simply adds flexibility. It allows technical users and AI systems to interact with the same visual logic in code form—bringing greater transparency, auditability, and speed to the process. Visual development remains central to Xano’s mission; XanoScript just extends its reach.