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Vinkius

JD Cloud Infrastructure Connector for AI agents.

11 live capabilities

Manage your JD Cloud storage and compute resources with a conversational interface

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AI Agent

Why people use JD Cloud Infrastructure

JD Cloud Infrastructure for E-commerce Cloud Management

With this Connector, you skip the clicking. You just tell your agent what you need, and it handles the requests for you. You get the status of your fleet in a single response.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for JD Cloud's infrastructure without the manual console navigation.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Troubleshooting a laggy app

    An SRE notices high latency and asks the agent to pull CPU metrics for a specific VM using `describe_metric_data` to identify the bottleneck.

  2. Real-world use case 02

    Checking instance specs

    A developer needs to confirm the hardware type and status of a specific machine by asking the agent to use `describe_vm_instance`.

  3. Real-world use case 03

    Quick storage audit

    A user wants to see all available storage buckets in their account and uses `list_oss_buckets` to verify the list.

Complete set · 11capabilities

The complete JD Cloud Infrastructure capability set.

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

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through JD Cloud Infrastructure.

  1. 01 Capability

    Describe vm instance

    Fetch detailed specs for a specific VM. Use this to confirm instance types and configurations.

  2. 02 Capability

    List cloud disks

    View all cloud disk volumes in your current region. Use this to audit your total storage footprint.

  3. 03 Capability

    Describe cloud disk

    Get specific details about a cloud disk volume. This helps you check storage capacity and health.

  4. 04 Capability

    Reboot vm instance

    Restart a specific VM instance. This is your go-to for refreshing a hung or unresponsive machine.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through JD Cloud Infrastructure.

  1. 05 Capability

    Describe metric data

    Pull time-series metrics for a resource. It's the quickest way to see CPU or network spikes.

  2. 06 Capability

    List oss buckets

    See all your Object Storage buckets at once. This keeps your storage organization visible.

  3. 07 Capability

    List elastic ips

    Find all Elastic IP addresses in your region. This helps you track your public IP allocations.

  4. 08 Capability

    List vm instances

    See every virtual machine in your JD Cloud region. It gives you a quick overview of your fleet.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through JD Cloud Infrastructure.

  1. 09 Capability

    List rds instances

    List all RDS database instances. You can check their engine versions and connection statuses here.

  2. 10 Capability

    Start vm instance

    Power on a stopped VM instance. Use this to quickly spin up resources when needed.

  3. 11 Capability

    Stop vm instance

    Shut down a running VM instance. This helps you manage costs by turning off idle resources.

Set up in minutes

One URL. Then ask JD Cloud Infrastructure to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JD Cloud Infrastructure from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_XVyDpjLKMV2jNPAcRKkik1f5ahKvTUfXc2RxgNF0/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it JD Cloud Infrastructure, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable JD Cloud Infrastructure for the conversation.

Where the request belongs

Work JD Cloud can move forward.

Built around the request

This is for the DevOps engineer who's tired of clicking through multiple nested menus at 2am to find a single stalled VM. It's for anyone managing JD Cloud's scale who needs to act fast without the overhead of a web UI.

01

DevOps Engineer

Manages VM lifecycles and disk status via chat instead of the web console.

02

SRE

Pulls real-time CPU and network metrics to troubleshoot production issues instantly.

03

Supply Chain Architect

Oversees the cloud backbone of JD's logistics network through high-level queries.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
JD Cloud / 京东云 logo
01 8 capabilities

JD Cloud / 京东云

China's leading supply chain cloud platform. manage VMs, storage, and cloud infrastructure via AI.

View Connector
UpCloud logo
02 46 capabilities

UpCloud

Manage UpCloud infrastructure via AI. control servers, monitor billing, and manage storage across global zones directly from your agent.

View Connector
Gridscale (IaaS & PaaS Cloud Hosting API) logo
03 17 capabilities

Gridscale (IaaS & PaaS Cloud Hosting API)

Manage your Gridscale cloud infrastructure. provision servers, monitor metrics, and control PaaS services directly from any AI agent.

View Connector
Flystack logo
04 5 capabilities

Flystack

Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.

View Connector
Paperspace logo
05 6 capabilities

Paperspace

Provision and track powerful GPU workloads via Paperspace. list compute instances, fetch active deployments, trace team projects, and query Gradient environments via AI.

View Connector
Render logo
06 9 capabilities

Render

Automate your PaaS infrastructure via Render. list your services, deploy code, check logs, and scale resources directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep JD Cloud connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about JD Cloud.

The practical details behind the request, access and result.

Can the JD Cloud Infrastructure MCP manage my databases?

Yes, it lists RDS database instances and shows their current engine versions and connection statuses. This lets you verify your database health without logging into the full management console.

How do I use the JD Cloud Infrastructure MCP for monitoring?

You can pull real-time CPU and network metrics for any resource. This helps you identify performance bottlenecks or spikes in your cloud infrastructure.

Can I use the JD Cloud Infrastructure MCP to save money?

Yes, you can use the Connector to stop running VM instances that are no longer needed. This helps you keep your cloud costs down by turning off idle resources.

Does the JD Cloud Infrastructure MCP work with Cursor?

Yes, it works with any MCP-compatible client like Cursor, Claude, or Windsurf. You just connect it to your agent to start managing JD Cloud resources.

What kind of storage can I see with the JD Cloud Infrastructure MCP?

You can list all your Object Storage buckets and inspect specific cloud disk volumes. This gives you a clear view of your storage footprint in the JD Cloud region.

Can the JD Cloud Infrastructure MCP restart a frozen server?

Yes, it has a specific command to reboot a VM instance. This is useful for quickly refreshing a machine that has become unresponsive.

Is the JDCLOUD2-HMAC-SHA256 signing handled automatically?

Yes. The Connector 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.

One connection away

Give your agent a direct line to JD Cloud.

Connect JD Cloud once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available