Deployment MCP Server

Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.

Local serverstdio

What is the Deployment MCP server?

Most cloud and infrastructure work still happens through a UI a human drives. Deployment MCP server moves it into the conversation instead. Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.

The short version

Deploy and manage apps to your cloud directly from Cursor. This plugin connects Cursor's AI agent to Deployment.io via the Model Context Protocol (MCP).

  • List environments — — view all your environments with status, region, and classification
  • Create environments — — provision new environments on shared or custom AWS runners
  • Edit environments — — rename and reconfigure existing environments
  • Monitor jobs — — check deployment job status and logs
  • Approval workflows — — manage approval requests for production changes

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

The tools it exposes

The server publishes 6 tools. What each one is for:

  • list_environments — List all environments in your organization
  • list_runners — List available deployment runners and regions
  • create_environment — Create a new environment
  • edit_environment — Rename an environment
  • get_job_status — Check the status of a deployment job
  • get_approval_status — Check the status of an approval request

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Deployment's toolset — list_environments, list_runners, create_environment and 3 more — is a fair guide to whether it matches your workflow. It is maintained by deployment-io; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
list_environmentsList all environments in your organization
list_runnersList available deployment runners and regions
create_environmentCreate a new environment
edit_environmentRename an environment
get_job_statusCheck the status of a deployment job
get_approval_statusCheck the status of an approval request

Example prompts to try

  • Use Deployment to list environments.
  • Use Deployment to list runners.
  • Use Deployment to create environment.

Frequently asked questions

It connects Deployment to MCP-compatible AI assistants such as Claude and Cursor, exposing 6 tools (list_environments, list_runners, create_environment, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Deployment directly.