MCP For Claude Marketplace
JD Cloud Infrastructure

JD Cloud Infrastructure MCP Connector for Claude

A+

Manage JD Cloud supply-chain infrastructure from your AI. Control VMs, disks, databases, and monitor resource metrics.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your AI agents directly to JD Cloud (京东云), the enterprise cloud infrastructure backing one of the world's largest e-commerce and supply chain platforms. This MCP provides 11 power tools spanning the full infrastructure lifecycle.

What you can do

  • VM Lifecycle Management — List, inspect, start, stop, and reboot virtual machines through natural language
  • Storage Operations — Enumerate and inspect cloud disks and Object Storage buckets
  • Network Oversight — Query Elastic IP allocations and their association status
  • Database Administration — List RDS instances with engine versions and connection status
  • Performance Monitoring — Pull time-series CPU, network, and disk metrics for any resource

How it works

  1. Navigate to the JD Cloud Console and generate IAM Access Keys
  2. Insert your Access Key, Secret Key, and preferred Region ID into Vurb
  3. The MCP engine constructs the JDCLOUD2-HMAC-SHA256 signature locally for every request.

Who is this for?

  • DevOps Engineers — Manage cloud infrastructure via conversational AI without switching dashboards
  • SRE Teams — Query real-time metrics and restart unhealthy instances through automated agents
  • Supply Chain Architects — Oversee the cloud backbone powering JD's logistics network
cloud-managementvirtual-machinesresource-monitoringinfrastructure-lifecycledisk-managementcloud-storage

11 tools expose this connector's capabilities to your AI agent.

describe_cloud_disk

Get detailed information about a specific cloud disk

describe_vm_instance

Get detailed information about a specific VM instance

describe_metric_data

Query monitoring metric data for a cloud resource

list_oss_buckets

List all Object Storage Service buckets

list_cloud_disks

List all cloud disk volumes in your region

list_elastic_ips

List all Elastic IP addresses in your region

list_vm_instances

List all virtual machine instances in your JD Cloud region

list_rds_instances

List all RDS database instances in your region

reboot_vm_instance

Reboot a VM instance

start_vm_instance

Start a stopped VM instance

stop_vm_instance

Stop a running VM instance

See how to talk to your AI agent using JD Cloud Infrastructure.

List all my running virtual machines on JD Cloud.

I queried the VM service and found 4 instances: 2 running (i-abc123, i-def456), 1 stopped (i-ghi789), and 1 in maintenance (i-jkl012). Total allocated vCPUs: 16.

Show me the CPU usage for instance i-abc123 over the last hour.

I pulled cpu.util metrics for i-abc123. Average CPU usage: 34.2%, peak: 78.9% at 23:42 UTC. The instance appears healthy with no sustained high-load periods.

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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