How to Use the JD Cloud Infrastructure MCP in Cursor

Q: How to set up JD Cloud Infrastructure in Cursor?

Define the server in your .cursor/mcp.json file. Once you point the configuration to the server, enable Agent mode in your chat to start calling the tools.

Build and debug using real-time data from JD Cloud Infrastructure inside Cursor.

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Connect JD Cloud Infrastructure MCP to Cursor

Create your Vinkius account to connect JD Cloud Infrastructure to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JD Cloud Infrastructure with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject live cloud state into Cursor

Let the AI write code that responds to your actual environment by calling `describe_vm_instance`. It sees the real configuration instead of guessing based on outdated stubs. This removes the gap between your code and your infrastructure. Your agent can suggest changes based on the exact disk and memory metrics it pulls via `describe_metric_data`.

Automate infrastructure tasks in Cursor

Use Agent mode to execute complex sequences like checking disk health with `list_cloud_disks` and rebooting unresponsive VMs with `reboot_vm_instance`. It handles the API calls while you focus on the logic. You spend less time context-switching between your editor and the cloud portal. The AI performs the discovery and the action in one flow.

Sync databases with Cursor workflows

Fetch your current database inventory using `list_rds_instances` to ensure your local connection strings match your cloud reality. It keeps your development environment perfectly aligned with production. This eliminates the common issue of hardcoding IDs that change. Your codebase stays updated automatically as the infrastructure evolves.

Setup guide

Set up JD Cloud Infrastructure MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the JD Cloud Infrastructure MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent JD Cloud Infrastructure transactions." If the MCP tools are loaded correctly, Cursor will call the JD Cloud Infrastructure tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "jd-cloud-infrastructure-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JD Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about JD Cloud Infrastructure MCP in Cursor

Define the server in your `.cursor/mcp.json` file. Once you point the configuration to the server, enable Agent mode in your chat to start calling the tools.

It provides live, accurate context for your code. Instead of mocks, the AI uses real-time API responses from your actual cloud environment to generate better, safer code.

Yes, you can configure it at the project level. This ensures that every developer on your team uses the same server and tools when working in that specific repository.

Yes, through the provided tools. You can ask the AI to list, start, or stop instances, and it will execute those commands using the authorized API access.

The server only reads the specific metadata and metric logs you authorize. It does not access your code, and all cloud communication is restricted to your defined API scope.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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