About Deployment.io
Deployment.io is a Cursor plugin for managing cloud environments and deployment jobs through natural language. It connects Cursor's AI agent to Deployment.io and applies organization permissions and production approval gates.
Key features
- 01List and create environments
- 02Edit environment names
- 03View runners and regions
- 04Check job status and logs
- 05Manage production approvals
Use cases
- 01Provision a cloud environment
- 02Rename an existing environment
- 03Review deployment job progress
- 04Check an approval request for production changes
MCP support
The plugin connects Cursor's AI agent to Deployment.io using MCP. It provides tools for environments, runners, deployment jobs, and approval requests, with OAuth authentication.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.deployment.io/v1/mcpclaude mcp add --transport http deployment-io-deployment-io https://api.deployment.io/v1/mcp{"mcpServers":{"deployment-io-deployment-io":{"type":"http","url":"https://api.deployment.io/v1/mcp"}}}Open in Cursor{"servers":{"deployment-io-deployment-io":{"type":"http","url":"https://api.deployment.io/v1/mcp"}}}Open in VS Code{"mcpServers":{"deployment-io-deployment-io":{"type":"http","url":"https://api.deployment.io/v1/mcp"}}}{"mcpServers":{"deployment-io-deployment-io":{"serverUrl":"https://api.deployment.io/v1/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 READMEDeployment.io — Cursor Plugin
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).
What it does
This plugin lets you manage your Deployment.io infrastructure through natural language:
- 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
Setup
- Install the plugin from the Cursor Marketplace
- Cursor will prompt you to authenticate with your Deployment.io account via OAuth
- Start using natural language to manage your infrastructure
Authentication
This plugin uses OAuth 2.0 with Dynamic Client Registration. When you first use a Deployment.io tool, Cursor will open a browser window to authenticate with your Deployment.io account. No API keys or tokens need to be configured manually.
Available tools
| Tool | Description |
|---|---|
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 |
Security
- All actions respect your organization's RBAC permissions
- Production environments require human approval before changes
- Agent keys are scoped to specific permissions via OAuth consent
- Three-layer access control: OAuth scopes, RBAC entity permissions, classification-based approval gates
Links
License
MIT
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.