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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use JD Cloud with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage JD Cloud supply-chain infrastructure from your AI. Control VMs, disks, databases, and monitor resource metrics.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 11 capabilities

The complete JD Cloud capability set.

These are the exact actions your AI can choose when you ask it to work with JD Cloud.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through JD Cloud.

  1. 01

    List cloud disks

    List all cloud disk volumes in your region

  2. 02

    Describe cloud disk

    Get detailed information about a specific cloud disk

  3. 03

    List elastic ips

    List all Elastic IP addresses in your region

  4. 04

    List oss buckets

    List all Object Storage Service buckets

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through JD Cloud.

  1. 05

    List vm instances

    List all virtual machine instances in your JD Cloud region

  2. 06

    Start vm instance

    Start a stopped VM instance

  3. 07

    Stop vm instance

    Stop a running VM instance

  4. 08

    Describe metric data

    Query monitoring metric data for a cloud resource

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through JD Cloud.

  1. 09

    Describe vm instance

    Get detailed information about a specific VM instance

  2. 10

    List rds instances

    List all RDS database instances in your region

  3. 11

    Reboot vm instance

    Reboot a VM instance

Observed, not estimated

793ms average. Fast in production.

JD Cloud is checked daily against the live service.

Daily averagePeak 912ms
Aug 20Today
Fastest day
716ms
Slowest day
912ms
14-day trend
Slowing+27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of JD Cloud, so you can see the experience inside your AI.

It does not authenticate your account with JD Cloud. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

JD Cloud Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XVyDpjLKMV2jNPAcRKkik1f5ahKvTUfXc2RxgNF0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — JD Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "jd-cloud-infrastructure-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XVyDpjLKMV2jNPAcRKkik1f5ahKvTUfXc2RxgNF0/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions JD Cloud owners ask.

  • 01

    Is the JDCLOUD2-HMAC-SHA256 signing handled automatically?

    Yes. The MCP engine locally derives signing keys through HMAC chains (date → region → service → jdcloud2_request), constructs canonical requests, and injects the Authorization header transparently. Your AI never handles raw crypto.

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