Deploy full-stack apps (Postgres, Redis, S3, workers, backups) from Claude or curl. 59 MCP tools.
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Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"nexus-ai": {
"url": "https://api.zollo.live/mcp",
"headers": {
"Authorization": "Bearer <your-nexus-token>"
}
}
}
}Are you the author?
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Full-stack application platform. Deploy full-stack apps from a prompt, a repo, or a CLI. Your AI agent runs the rest.
No automated test available for this server. Check the GitHub README for setup instructions.
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Full-stack application platform. Deploy full-stack apps from a prompt, a repo, or a CLI. Your AI agent runs the rest.
NEXUS AI is an Full-stack application platform that deploys full-stack containerized applications (app code, Postgres, MySQL, Mongo, Redis, S3-compatible buckets, persistent volumes, background workers, encrypted backups) in about 5 minutes. Every platform action is callable as a Model Context Protocol (MCP) tool, so Claude, Cursor, Codex, or any MCP-compatible agent can 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, ship to a public HTTPS URL with Postgres + Redis + S3 in 5 minutes, then let your AI agent operate the stack on your behalf.
Three equivalent ways to deploy the same app. Pick one or use all three.
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
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.
Postgres, MySQL, Mongo, Redis, S3-compatible buckets, persistent volumes, background workers, and your app code. Wired together by one nexus deploy and live at a public HTTPS URL in 5 minutes. Framework detection covers FastAPI, Flask, Django, Express, Next.js, Rails, Laravel, Symfony, PHP, Ruby, Go, Java, and any container.
59 MCP tools cover the full lifecycle. Connect the NEXUS AI MCP server (https://api.zollo.live/mcp) to Claude Desktop, Claude Code, Cursor, Codex, or any MCP client. The same agent that generated the code can deploy, scale, back up, restore, query the database, and roll back. Listed on the official MCP Registry at io.github.nexusrun/nexus-ai.
Org-scoped volumes that survive container restarts, redeploys, and host reboots. Multi-attach S3-compatible buckets backed by MinIO, each with its own scoped IAM service account (not platform-wide root crede