About Devopness
Devopness is a cloud DevOps platform for development teams, leads, founders, and agencies. It provisions infrastructure and deploys applications in cloud accounts they control, with a unified platform for multi-cloud operations and natural-language management through MCP.
Key features
- 01Provision cloud infrastructure from scratch
- 02Deploy apps across cloud providers
- 03Trigger deployments on Git pushes
- 04Review deployment and infrastructure history
- 05Set role-based permissions per environment
Use cases
- 01Provision servers and deploy apps in cloud accounts
- 02Move an application between cloud providers
- 03Manage infrastructure in natural language through MCP
MCP support
Devopness provides an MCP server through which AI agents can provision servers, deploy apps, migrate cloud environments, and manage infrastructure. Connecting prompts users to log in to their Devopness account.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.devopness.com/mcp/claude mcp add --transport http devopness https://mcp.devopness.com/mcp/{"mcpServers":{"devopness":{"type":"http","url":"https://mcp.devopness.com/mcp/"}}}Open in Cursor{"servers":{"devopness":{"type":"http","url":"https://mcp.devopness.com/mcp/"}}}Open in VS Code{"mcpServers":{"devopness":{"type":"http","url":"https://mcp.devopness.com/mcp/"}}}{"mcpServers":{"devopness":{"serverUrl":"https://mcp.devopness.com/mcp/"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
Stop managing DevOps. Ship more, stress less.
DevOps Happiness for AI agents and humans.
One platform · Any cloud · Any stack · Free plan
Devopness
Deploy apps and provision cloud infrastructure from scratch on AWS, Azure, GCP, DigitalOcean, and Hetzner: in accounts you control.
One platform to replace many tools: Terraform + Ansible + Jenkins + PaaS (Vercel, Heroku, etc), and stack-specific server panels.
Manage apps, Linux servers, and cloud infrastructure from anywhere: web, mobile, API, or natural language in your AI agent through MCP. No SSH or cloud console for routine work.
For AI agents (MCP)
Ask your AI agent to provision servers, deploy apps, migrate between clouds, and manage infrastructure through one MCP server: not a separate integration per cloud or stack.
One-click install
Example prompt:
Migrate my app from AWS to Hetzner.
Starting the MCP server prompts you to log in with your Devopness account.
MCP-compatible clients: Cursor, VS Code, Claude Code, Codex CLI, Gemini CLI, Windsurf, Zed, Warp, JetBrains AI, and more. See step-by-step guides in MCP docs.
What Devopness replaces
Many self-hosted deploy tools (Coolify, Dokploy, and similar) assume you already provisioned a server and can connect over SSH. Devopness provisions infrastructure in your cloud from scratch, configures Linux, and deploys your apps. Routine work runs from the web app, API, or MCP: no SSH and no cloud console for everyday tasks.
Devopness combines what teams usually split across multiple tools into one platform:
Cloud infrastructure from scratch
- Networks, subnets, static IPs, servers, and Linux configuration in your cloud accounts (instead of Terraform, Ansible, and manual cloud console work)
CI/CD and hosted PaaS
- Deploy pipelines and hosted platforms (instead of Jenkins, GitHub Actions, GitLab CI, Vercel, Heroku, Netlify, Railway, Render, and similar PaaS)
Server and app management panels
Instead of separate panels per stack, use one platform for all stacks. Devopness replaces:
- PHP: cPanel, Laravel Forge/Envoyer, Plesk, RunCloud, ServerPanel.app
- Python: FastAPI Cloud, and similar stack-focused tools
- Ruby: Cloud 66, Hatchbox, Kamal (popular in Rails, works for any stack)
- Self-hosted (bring your own server): Coolify, Dokploy
What you get
- Trigger zero-downtime deploys automatically when you push to git
- See deploy history and infrastructure changes in one place, even from mobile, without SSH or cloud console access
- Fine-grained, role-based permissions per environment so teammates deploy without direct cloud-console access
- Run DevOps operations in natural language through MCP when connected to your AI agents
Quick start
- Create an account: free, no credit card required
- Follow Getting Started: organization -> project -> environment -> first deploy
- Connect MCP: optional; one-click in Cursor or VS Code above
For developers, team leads, founders, and agencies shipping on cloud infrastructure they control.
This repository
Open source packages and documentation for Devopness:
| Path | Package | Description |
|---|---|---|
| /docs | Documentation | Product docs |
| /packages/sdks/javascript | @devopness/sdk-js | JavaScript/TypeScript API SDK |
| /packages/sdks/python | devopness | Python API SDK |
| /packages/ui/react | @devopness/ui-react | React design system |
| /examples/applications | Examples | Sample app integrations (Rails, Express, Laravel, and more) |
Community
Contributing
Contributions are welcome. See CONTRIBUTING.md. If you use AI tools, also read AGENTS.md. All contributions are subject to the Code of Conduct.
Like the project? Star this repo: it helps others discover Devopness.
Release notes: GitHub Releases. Licensed under Apache License 2.0.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.