The Infrastructure Control Plane Built for the Conversational Era
NEXUS AI is not another dashboard. It's a paradigm shift — a cloud infrastructure control plane where you deploy, manage, and scale applications through natural conversation rather than clicking through labyrinthine menus.
The cloud industry has long suffered from a fundamental tension: as infrastructure complexity grows, the cognitive overhead of managing it grows proportionally. Kubernetes YAML files, AWS IAM policies, GCP service accounts, Azure resource groups — the modern cloud engineer is buried under layers of configuration, nomenclature, and provider-specific abstractions.
NEXUS AI was built to cut through this complexity. By placing a conversational AI layer on top of multi-cloud infrastructure, the platform transforms deployment management from a specialized technical discipline into something far more intuitive — a dialogue.
NEXUS AI is an AI-native cloud infrastructure control plane — a platform that unifies deployment management across GCP Cloud Run, AWS ECS Fargate (App Runner), Azure Container Apps, and local Docker environments through a single, intelligent interface.
At its core, NEXUS AI exposes a comprehensive MCP (Model Context Protocol) server that allows AI assistants — including Claude — to directly manage your cloud infrastructure. This means you can deploy a new application, check its logs, scale resources, monitor health, and manage secrets simply by talking to your AI assistant.
The platform handles the heavy lifting: building container images from your Git repositories, pushing them to cloud-native registries (ECR for AWS, GCR for GCP), provisioning infrastructure, configuring networking, and running health checks — all triggered from a single conversational command.
NEXUS AI supports all four major container deployment targets under a unified abstraction layer. Whether your workload belongs on GCP's serverless Cloud Run, AWS's managed App Runner, Azure's Container Apps, or a straightforward Docker environment, NEXUS AI presents the same simple interface.
| Provider | Best For | Auto-Scale | Region |
|---|---|---|---|
GCP Cloud Run |
Serverless containers, global scale | Yes | Multi-region |
AWS App Runner |
Managed workloads, US-East default | Yes | us-east-1 |
Azure Container Apps |
Enterprise workloads, .NET stacks | Yes | Multi-region |
Docker (Local) |
Development, testing, rapid iteration | Manual | Local |
NEXUS AI's source deployment capability bridges your Git repository directly to cloud infrastructure. Point it at a GitHub repo, specify your build commands and framework, choose a provider — and the platform handles everything else.
NEXUS AI clones your repository and analyzes the codebase. It respects custom install commands (npm ci, pip install), build commands (npm run build), and start commands (npm start, node server.js).
The platform containerizes your application — either using a detected or specified Dockerfile, or auto-generating one based on the identified framework. Supported frameworks include Node, Python, Go, and more.
Built images are pushed to the appropriate cloud-native registry. AWS deployments use ECR (Elastic Container Registry), with images tagged by deployment UUID for precise version tracking and rollback capability.
Cloud infrastructure is provisioned and the service URL is configured. NEXUS AI runs HTTP health checks against the deployment endpoint, confirming live traffic readiness before marking the deployment as running.
Deploy, scale, stop, restart, and delete applications using natural language through any MCP-compatible AI assistant. No CLI memorization, no console navigation.
Stream build and runtime logs directly into your conversation. Monitor health check status, restart counts, and exit codes without leaving your workflow.
Store and reference environment secrets securely. Pass secret names to deployments at runtime — API keys, tokens, and credentials never exposed in plain text.
Attach, verify, and manage custom domains on any running deployment. DNS verification is handled within the platform, no external tooling required.
Roll back to any previous deployment revision instantly. NEXUS AI maintains full deployment history, making recovery from bad releases trivial.
Connect external databases, inspect schemas, and get AI-proposed DDL fixes when deployment errors suggest database issues — all from within the platform.
Track AI request usage, container hours, active deployments by status, and plan quota consumption. Stay within limits without surprise overage charges.
Create, view, and reply to support tickets directly from your AI conversation. Escalate deployment issues to the NEXUS AI team without switching contexts.
The Model Context Protocol (MCP) is the architectural foundation that makes NEXUS AI genuinely conversational — not just a dashboard with a chatbot bolted on. MCP allows AI models to discover and invoke platform capabilities as structured tools, creating a seamless bridge between human intent and cloud action.
"The difference between NEXUS AI and traditional cloud consoles is the difference between speaking and clicking. One maps to how humans naturally think. The other maps to how software was traditionally organized."
When connected to Claude via MCP, the entire NEXUS AI capability surface — deployments, logs, secrets, domains, database connections, support tickets, usage analytics — becomes instantly accessible through natural language. The AI understands deployment IDs, maps provider names to technical identifiers, and chains multiple operations (deploy → monitor → check logs → raise ticket) in a single coherent workflow.
The MCP server is available at https://api.zollo.live/mcp and exposes 25+ tools covering the full platform surface. Organizations on the PRO plan can make up to 500 AI-mediated requests per month, with token usage tracked transparently in the usage dashboard.
NEXUS AI serves a wide spectrum of builders — from solo founders who need to ship quickly to engineering teams managing complex multi-cloud environments.
Deploy full-stack applications without deep DevOps expertise. Focus on product, not infrastructure configuration. Go from GitHub commit to live URL in minutes.
Move across cloud providers as needs evolve — start on Docker locally, graduate to GCP Cloud Run for production, expand to multi-region AWS without re-architecting.
Reduce the cognitive overhead of multi-cloud management. Standardize deployment workflows across teams using a common conversational interface.
Secret management, environment isolation (DEVELOPMENT / STAGING / PRODUCTION), and audit-friendly deployment history support compliance-sensitive workloads.
NEXUS AI's PRO tier is designed for builders who need real production capability without enterprise pricing. The plan includes access to all four cloud providers, with the following quotas:
Storage is capped at 10GB, with container hours tracked and visible in the usage dashboard. The auto-destroy feature is particularly useful for preview deployments, demo environments, and temporary test workloads — keeping costs predictable.
The trajectory of software tooling has always moved toward higher abstraction. Assembly gave way to high-level languages. GUIs replaced command-line interfaces for millions of users. Infrastructure-as-code replaced manual server provisioning. Each abstraction level made the underlying capability accessible to a broader audience.
NEXUS AI represents the next abstraction: infrastructure as conversation. By exposing multi-cloud deployment management through the Model Context Protocol, the platform doesn't just make DevOps faster — it fundamentally changes who can do DevOps.
The implications reach beyond convenience. When deploying to AWS is as simple as saying "deploy my app from this GitHub repo using AWS," the activation energy for shipping software drops to near zero. Ideas move to production faster. Iteration cycles compress. The gap between builder and infrastructure narrows to nothing.
NEXUS AI isn't trying to be the most powerful cloud platform. It's trying to be the most accessible one — and in a world where AI mediates human-computer interaction, accessibility and power are converging.
Whether you're a solo founder deploying your first production app or an engineering team managing a portfolio of microservices across GCP, AWS, and Azure, NEXUS AI offers the same proposition: your infrastructure, your way, through conversation.