How to Use the JD Cloud / 京东云 MCP in Claude Code

Q: How do I add the JD Cloud / 京东云 server to Claude Code?

Run the claude mcp add command in your terminal, specifying the Vinkius transport URL. The tool configuration is saved directly to your local config file for immediate terminal use.

Manage JD Cloud / 京东云 directly from your terminal using Claude Code's headless execution.

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Connect JD Cloud / 京东云 MCP to Claude Code

Create your Vinkius account to connect JD Cloud / 京东云 to Claude Code 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 / 京东云 with Claude Code

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Run Headless Infrastructure Audits

The `list_vm_instances` tool lets you query your active compute nodes directly from your shell. Claude Code runs this tool in the background, allowing you to pipe the active VM lists into local grep or awk commands for quick filtering. To check on storage bloat, the terminal agent runs `list_cloud_disks` alongside your compute queries. It immediately flags unattached block storage disks, giving you the exact IDs to clean up without leaving your terminal session.

Script Your Deployments using this MCP Server

The `list_cicd_pipelines` tool lets you monitor deployment statuses directly from an SSH session. Claude Code queries your active pipelines, helping you verify that your latest commit successfully built before triggering downstream scripts. You can combine this with `list_vpc_networks` to check that your build agents are running in the correct isolated subnets. It gives you raw, actionable network data right in your terminal buffer.

Terminal-Based Cost Control

The `get_billing_summary` tool fetches your current JD Cloud spend directly to your command line. Instead of loading a heavy web console, you get a quick text-based breakdown of your daily burn rate. The agent cross-references this billing data with `get_account_profile` to verify which sub-accounts are driving the highest costs. It keeps your team accountable and prevents surprise bills from idle dev environments.

Setup guide

Set up JD Cloud / 京东云 MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see jd-cloud-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest JD Cloud / 京东云 transactions." It will automatically discover and invoke the available JD Cloud / 京东云 tools.

Terminal

claude mcp add --transport http jd-cloud-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the JD Cloud / 京东云 MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "jd-cloud-mcp": {
      "type": "url",
      "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 / 京东云. 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 / 京东云 MCP in Claude Code

Run the `claude mcp add` command in your terminal, specifying the Vinkius transport URL. The tool configuration is saved directly to your local config file for immediate terminal use.

Yes, you can ask Claude Code to output the results of tools like `list_oss_buckets` as raw JSON. This lets you pipe the storage data directly into custom bash scripts or local text files.

No, this integration is entirely headless. You can run commands and query tools like `get_vm_detail` over SSH, in Docker containers, or within your CI/CD runner.

The MCP server handles JD Cloud API limits gracefully by returning clean error states. Claude Code reads these responses and can automatically back off and retry the request if needed.

No, your account profile and VM metadata are processed through an isolated, zero-trust MCP sandbox. Credentials are never written to shell history or local log files, ensuring your secure keys remain uncompromised.

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