Server data from the Official MCP Registry
Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.
Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.
Remote endpoints: streamable-http: https://api.deployment.io/v1/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-deployment-io-deployment-io": {
"url": "https://api.deployment.io/v1/mcp"
}
}
}From the project's GitHub README.
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).
This plugin lets you manage your Deployment.io infrastructure through natural language:
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.
| 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 |
MIT
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