NEXUS AI MCP server

NEXUS AI

NEXUS AI infrastructure platform. Build apps with AI, or deploy them from a prompt, a repo, or a CLI. Your AI agent runs the rest.

What is NEXUS AI?

NEXUS AI is infrastructure platform that builds and deploys full-stack containerized applications (app code, Postgres, MySQL, Mongo, Redis, S3-compatible buckets, persistent volumes, background workers, encrypted backups) in about 5 minutes. It includes an AI App Builder (chat to live preview to deploy), standalone managed databases on NEXUS AI or your own AWS, Google Cloud, or Azure account, and an AI Gateway for routing model traffic. Every platform action is callable as a Model Context Protocol (MCP) tool, so Claude, Cursor, Codex, or any MCP-compatible agent can build, deploy, scale, back up, restore, query the database, and roll back without leaving the chat or IDE.

The problem it solves. AI tools like Claude Code, Cursor, v0, Bolt, Lovable, and Replit can generate working application code in minutes. Getting that code into production still requires the rest of a real stack: a database, a queue, storage, secrets, scaling, health checks, backups, rollbacks. NEXUS AI is the deploy layer that closes that gap and exposes every operation to the agent that wrote the code.

In one sentence. Describe what you want to build, preview it live, ship to a public HTTPS URL with Postgres + Redis + S3 in 5 minutes, then let your AI agent operate the stack on your behalf.

How It Works

Four equivalent ways to get the same app running. Pick one or use all of them.

PROMPT
  Tell Claude in chat: "Deploy this repo with Postgres, Redis,
  and a bucket called user-uploads."
  → The agent calls nexusai_deploy_source + nexusai_bucket_create
    + nexusai_bucket_attach + nexusai_deploy_redeploy.
  → Live URL in ~5 minutes.

REPO
  nexus deploy source \
    --repo https://github.com/you/my-app.git \
    --framework python \
    --services postgresql,redis \
    --bucket user-uploads --wait

BUILDER
  Describe the app at https://nexusai.run/builder. Watch it render in a
  live preview, edit the code or click an element to change it, then
  press Deploy. Same pipeline as the CLI.

DASHBOARD
  Click through the same operations at https://nexusai.run/app.
  Same engine, same result.

After deploy, the agent (or you) operates the running stack: stream logs, scale replicas, snapshot the database, restore from backup, run a sandboxed SQL query, apply an AI-proposed schema fix, roll back to a previous release. Every action is an MCP tool, a CLI command, and a dashboard button.

Core Features

Shortened. The full README is on GitHub.