Connect Claude, Cursor, or Codex to the NEXUS AI MCP server and let agents deploy apps, read logs, back up databases, and roll back, with scoped OAuth access.
Connect in one step
The server is remote and uses OAuth. Add https://mcp.nexusai.run/mcp to your client, sign in to NEXUS AI in the browser on first connect, and approve the scopes the agent may use. It is listed in the official MCP Registry as io.github.nexusrun/nexus-ai. Headless and CI clients can pass a pre-minted OAuth access token in the Authorization header instead.
74 tools across the whole platform
Agents get tools for identity, AI Builder handoff, deployments (create, redeploy, logs, health, scaling, rollback, start, stop, auto-destroy), secrets, custom domains, external databases, deployment database backups and restores, persistent volumes, S3-compatible buckets, managed databases, and support tickets. Results come back as structured JSON the agent can act on.
Access you can narrow
Every tool requires one of 25 OAuth scopes. Grant deployments:read and deployments:logs and an agent can diagnose an outage without changing anything. Deleting anything needs a separate :delete scope, and restores and schema fixes need db:admin, so you decide how far an agent can go.
Guardrails for agents
Every tool carries a hint: 26 are marked read-only and the 15 that change or delete data are marked destructive, so MCP clients can ask before running them. SQL that writes or changes schema runs only after a preview and an explicit confirmed flag, and schema fixes are proposed before they are applied. Deploys, restores, database queries, schema fixes, and managed database changes are recorded in the audit log.
From chat to production
An agent can generate an app in chat, push it to the AI Builder for a live preview with nexusai_builder_push, pull back your edits, deploy it with a database, then watch status and logs until it is healthy. Preview deployments can be given an auto-destroy time, and the agent can extend or cancel it later.
How it compares
Most hosting platforms now ship an MCP server, but they differ in reach. NEXUS AI covers the full lifecycle, including backups, restores, storage, and secrets, and scopes each tool separately. The table below lists what each platform's server covers, from each vendor's documentation.
Set up the NEXUS AI MCP server
Claude Code
Add the server with one command. Claude Code opens the NEXUS AI sign-in on first connect.
Run the command in your terminal.
Start Claude Code and approve the sign-in in the browser.
Ask Claude to call nexusai_whoami to confirm the connection.
claude mcp add --transport http nexus-ai https://mcp.nexusai.run/mcp
For headless use, add --header "Authorization: Bearer <token>" with a pre-minted OAuth access token.
Claude Desktop reads ~/Library/Application Support/Claude/claude_desktop_config.json on macOS and %APPDATA%\Claude\claude_desktop_config.json on Windows.
One request, several tools: the agent reads health and logs, backs up the database before changing anything, redeploys, and verifies.
nexusai_deploy_health and nexusai_deploy_logs to find the error.
nexusai_db_backup before touching data.
nexusai_deploy_redeploy with the fix, then nexusai_deploy_status until it is healthy.
The checkout app is returning 500 errors. Check its health and the last 200 log lines, find the cause, back up its database, then redeploy with the fix and confirm it is healthy.
This flow needs deployments:read, deployments:logs, deployments:create, and db:admin. Grant only the read scopes if you want a diagnosis without changes.
74 tools: deploys, logs, scaling, rollback, databases, backups and restores, storage, secrets, domains, and support, each gated by one of 25 OAuth scopes
Create projects, chat with Lovable, read files, query the database, and deploy, with access to every project the account can reach
Replit
Eight tools to create, find, inspect, update, and publish Replit apps
Frequently asked questions
What is an MCP deployment platform?
A deployment platform that exposes deploying and operating apps as Model Context Protocol tools, so AI agents in Claude, Cursor, Codex, and other clients can deploy, read logs, and manage databases from chat or the IDE.
What is the NEXUS AI MCP server URL?
https://mcp.nexusai.run/mcp. It is a remote Streamable HTTP server that uses OAuth, listed in the official MCP Registry as io.github.nexusrun/nexus-ai.
How do I add NEXUS AI to Claude Code?
Run claude mcp add --transport http nexus-ai https://mcp.nexusai.run/mcp, then approve the NEXUS AI sign-in in the browser on first connect. Ask Claude to call nexusai_whoami to confirm the connection.
How do I connect Cursor, Codex, or Claude Desktop?
In Cursor, add https://mcp.nexusai.run/mcp under Settings, MCP, or in .cursor/mcp.json. In Codex, run codex mcp add nexus-ai --url https://mcp.nexusai.run/mcp and then codex mcp login nexus-ai. In Claude Desktop, add the same URL to claude_desktop_config.json and restart.
Do I need an API key?
No. Each client signs in with OAuth in the browser on first connect, and you approve the scopes. Headless and CI clients that cannot open a browser can pass a pre-minted OAuth access token in the Authorization header.
How do I limit what an agent can do?
Approve only the scopes it needs. Every tool requires one of 25 OAuth scopes: for example, deployments:read and deployments:logs allow diagnosis without changes, deletes need the matching :delete scope, and restores need db:admin.
Can an agent delete or overwrite data by mistake?
Only with the scopes to do it. The 15 tools that change or delete data are marked destructive so MCP clients can ask before running them, SQL writes and schema changes need an explicit confirmed flag after a preview, and a restore can go into a separate database first.
Can agents update auto-destroy schedules?
Yes. nexusai_deploy_auto_destroy can set, extend, reduce, or remove a deployment's auto-destroy time without restarting the app.
Can an agent give the user a live preview before deploying?
Yes. nexusai_builder_push sends a generated file set to the project's AI Builder session and returns a preview URL where the user sees the app running. nexusai_builder_pull brings the files, including edits made in the builder, back into the conversation before deploying.
How is it different from the Vercel, Render, or Replit MCP servers?
Those servers focus on deploying and inspecting apps on their own platforms. The NEXUS AI server also covers database backups and restores, storage, secrets, domains, and managed databases, and each tool is gated by its own OAuth scope.