Crimble Crumble

Sydney · AI web · MCP · Agents

Web Strategy for an AI Era

We are a Sydney-based AI web development agency. We design and build AI-native websites and applications, and we specialise in Model Context Protocol (MCP) integrations that let modern assistants safely read and act on the systems you already run—CRMs, ERPs, service desks, and bespoke internal tools—without a rip-and-replace project.

Book an AI strategy call
Hands holding a pen over paperwork on a desk

Scott Graham / Unsplash

Latest from the blog

EmDash and a practical path off WordPress

20 May 2026

Cloudflare’s new open-source CMS keeps familiar publishing—but sandboxes plugins. What to check before you migrate.

Read the article

View all posts

What We Deliver

Engagements usually blend product UX, integration architecture, and rollout discipline—so your AI story is credible on the website and dependable behind the login wall.

WordPress to EmDash Migrations

Export WordPress content, map custom types, rebuild themes on Astro/EmDash, and cut over with redirects and SEO parity—without pretending plugin stacks translate on day one.

AI-Native Web Apps & Marketing Sites

Fast, SEO-strong frontends (including Astro) with embedded assistants, dashboards, and conversion paths built for how buyers evaluate AI vendors.

MCP Servers & Legacy Tooling

Expose ERPs, ticketing systems, internal APIs, and databases to Claude, Cursor, and custom agents via governed MCP—without rewriting your core stack.

Agents, RAG & Production Ops

Orchestration, retrieval, evals, and observability so AI features stay accurate, on-policy, and cost-aware after launch.

Legacy systems · MCP

AI-Enable What You Already Own

Replacing core systems is expensive and risky. MCP lets you expose curated capabilities—tickets, orders, inventory lookups, policy docs, workflows—to AI clients through a standard tool surface, with auth, auditing, and rate limits you control.

  • Wrap SOAP/REST APIs, message queues, and SQL behind MCP tools with explicit intent boundaries.
  • Pair integrations with human-in-the-loop UX so teams trust outputs on day one.
  • Design for observability: traces, tool-call logs, and eval suites tuned to your domain.
  • Ship incrementally: one high-value workflow at a time, measured against business KPIs.

Featured AI Program

The Crumble AI Integration Stack

From LLM routing and guardrails to MCP tool surfaces on top of legacy APIs, we connect models to the systems that matter—then prove reliability with evals, red-team scenarios, and production telemetry.

See example outcomes →

How We Build

  1. 1 / Discover

    Map opportunities, data boundaries, and measurable business wins for AI adoption.

  2. 2 / Integrate + Build

    Implement AI agents, MCP endpoints, and automation flows with clear guardrails.

  3. 3 / Observe + Optimize

    Monitor quality, latency, and cost with evals and continuous model improvements.

Ready to Crimble Your Crumble?

If your team is exploring AI but stuck in pilot mode, we should talk. We build production-ready AI systems that your teams can trust and use daily.

contact@crimblecrumble.com.au