Deployment.io

Your coding agents got fast.Your delivery didn't.

Deployment.io is the AI that runs your engineering. End to end.

Just describe the outcome. Our AI agents plan the work, build it across your repos, verify each change in a preview, and ship it to your cloud. You approve production.

Native MCP server + open-source skill for the agents you already use

Claude CodeCursorWindsurfCopilot

Deliver outcomes, not edits

From outcome to production

Five steps, every one in your own cloud.

STEP 01

You describe an outcome

A prompt, a ticket, or a backlog item — “Add SSO across our apps.”

STEP 02

Deployment.io plans it

Our planning agent reads your repos and architecture, generates a spec, and decomposes it into Tasks across the right repos in the right order.

STEP 03

Agents execute, sandboxed

Each Task runs in an isolated container in your cloud — with resource limits, least-privilege access, and a full audit trail. Our agents commit and push the changes.

STEP 04

Verified in a preview

A preview environment spins up with the changed services. Each change is checked before it reaches your review queue.

STEP 05

You review, merge, deploy

Pull requests arrive with preview URLs. Merge what passes. Production deploys pause for your sign-off.

What our agents ship

First-class support for the workloads teams actually run in the cloud.

Static Sites

Our agents ship React, Next.js, Vue, and other static sites with HTTPS, a global CDN, cache invalidation, and rollbacks built in.

e.g., “Migrate our docs from Hugo to Astro and ship it.

Web Services

Go, Node.js, Python, Ruby, and Rust services deploy with auto-scaling, health checks, and zero-downtime rollouts.

e.g., “Bump Node from 18 to 20 across all services and roll out.

Multiple Environments

Stand up dev, staging, and production environments — each in its own cloud account if you want. Our agents deploy to any of them.

e.g., “Spin up a preview env for the checkout-v2 branch.

The platform underneath

Built for agents. Controlled by you.

The features that make agent-led deploys safe, fast, and predictable.

Native MCP tool surface

Agents call real deploy actions over MCP. Not chat — actual deploys.

Zero-config auto-detection

Our agents read your Dockerfile, port, health check, and build command from the repo. No YAML.

Human approval gates

Production deploys pause for sign-off. Approve from Slack or the dashboard.

RBAC for humans and agents

Scope what each teammate and each MCP token can deploy, read, or approve.

Auto-deploy on git push

Wire a branch to an environment once. Every push triggers a deploy.

Custom domains, HTTPS, Slack alerts

Bring your domain. Certs, CDN, and load balancing wired automatically. Alerts in Slack.

Security & control

Your cloud. Your data. By architecture, not promise.

Deployment.io runs inside your own cloud. We don't proxy your traffic, store your code, or hold your secrets.

Read the full security model

Your cloud, your data

Code, secrets, build artifacts, and runtime traffic never leave your cloud.

Open-source runner

The runner that touches your infrastructure is open source. Audit it, fork it, run your own build.

Revoke access anytime

We connect via a scoped role you control. Detach the role and we lose all access — instantly.

Approval gates by default

Production deploys require human approval. Role-based access controls scope what each teammate (and each agent) can do.

Ship outcomes. Keep the keys.

Describe what you want. Every change is verified in a preview; every production deploy waits for your sign-off.