• PROVISION
  • RELEASE
  • MONITOR
  • HUMAN

How to deploy MCP environments with your AI

Connect Alpic to your AI client once. After that, you manage your entire environment lifecycle through simple commands.

Ask AI about this page

Short answer

How can I use my AI to manage environments?

You tell your AI to spin up a new environment or push a specific version to a target stage. It handles the setup and deployment, then reports the status back to you. You get direct control over dev, staging, and production without using a CLI.

Deployment outcomes

Where your deployments land.

The AI handles the heavy lifting of infrastructure management.

PROVISION

New environments ready

The AI builds a fresh environment based on your requirements. You get a clean, isolated space for testing immediately.

RELEASE

Versions pushed to stages

Your AI moves specific code versions to dev, staging, or production. It ensures the right build lands in the right place.

MONITOR

Live deployment status

The AI checks the progress of a rollout. You get clear updates on whether a deployment succeeded or failed.

HUMAN

Manual oversight required

You decide when a version is stable enough for production. The AI waits for your signal before moving code into live environments.

The workflow

What your AI does when <the thing arrives>.

The AI acts as your deployment engineer, executing infrastructure changes based on your instructions.

  1. Spin up environments

    When you need a new sandbox, the AI builds the environment from scratch.

    create_environment

  2. Push specific versions

    The AI moves your code to the environment you specify, like dev or staging.

    deploy_environment

  3. Track rollout progress

    The AI monitors the status of a deployment to ensure it finishes correctly.

    get_deployment

  4. Verify deployment state

    The AI checks the current status of a deployment to confirm it is live or failed.

    get_deployment

Try it

Copy these to start.

Use these prompts to trigger actions in Alpic.

Starting points

Swap out the bracketed text for your actual environment names or version numbers.

Alpic Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_2KgnFzVSaiaSHBNFbROaJ4IhOHTa3rucrY1KgZYb/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Alpic capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "alpic-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2KgnFzVSaiaSHBNFbROaJ4IhOHTa3rucrY1KgZYb/mcp"
    }
  }
}
Copy into chat04

  • Create a new dev environment named 'feature-auth-test'.

  • Deploy version 2.4.1 to the staging environment.

  • Check the status of the last deployment to production.

  • Create a production environment for the upcoming release.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Alpic once, then ask.

Follow the link to connect. Your credentials stay encrypted on our side, and you can start managing environments immediately in your preferred AI client.

Connect Alpic to your AI

FAQ

How Alpic behaves

  • 01

    Can the AI delete an existing environment?

    No. The current tools only allow for creating, deploying, and checking status. Deletion must be handled by you manually.

  • 02

    Does the AI decide which version goes to production?

    No. You must explicitly tell the AI which version to deploy to production. It won't make autonomous release decisions.

  • 03

    Can I use this with Cursor?

    Yes. Any MCP-compatible client like Cursor, Claude, or Windsurf works with Alpic.

  • 04

    How do I know if a deployment failed?

    You can ask the AI to check the status of a deployment, and it will report the results from the system.

  • 05

    Can the AI change my existing environment configurations?

    No. The AI can create new environments and deploy versions, but it cannot modify the underlying configuration of an existing environment.

  • More questions about Alpic? The Connector page answers them. See everything the Alpic Connector can do

Connect Alpic to Claude, Cursor, ChatGPT & more