MCP Deployment Platform for AI Agents
Use NEXUS AI as an MCP deployment platform so Claude, Cursor, Codex, and compatible agents can deploy, scale, back up, restore, query, and roll back apps.
Give agents real platform tools
MCP-compatible agents can list projects, deploy source, read logs, check health, scale replicas, update auto-destroy schedules, create secrets, attach storage, back up databases, restore data, inspect schemas, and roll back deployments.
Scoped access and audit trails
NEXUS AI MCP tools use OAuth scopes, tenant context, role-based authorization, and audit logs so agents can run bounded workflows without broad credentials.
Useful inside Claude, Cursor, and Codex
Agents can diagnose runtime logs, propose database fixes, create backups before migrations, deploy patches, and verify results from chat or IDE workflows.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
Frequently asked questions
What is an MCP deployment platform?
An MCP deployment platform exposes deployment and operations workflows as Model Context Protocol tools that AI agents can call from chat or IDE environments.
Which MCP clients can use NEXUS AI?
NEXUS AI can be connected to MCP-compatible clients such as Claude, Cursor, Codex, and custom clients that support OAuth-protected HTTP MCP servers.
Can agents update auto-destroy schedules?
Yes. The nexusai_deploy_auto_destroy tool can set, extend, reduce, or disable a deployment auto-destroy schedule without restarting the app.
Can an agent give the user a live preview before deploying?
Yes. The nexusai_builder_push tool pushes a generated file set into the project's AI Builder session and returns a preview URL where the user sees the app running in the browser, with no infrastructure spun up. nexusai_builder_pull brings the files, including builder-side edits, back into the conversation before deploying.
About NEXUS AI
NEXUS AI is an AI-native deployment platform for full-stack application teams. Learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
Start for free · Read the documentation · About NEXUS AI · Contact