How do I find my JD Cloud Access Key and Secret Key?

Log in to the [JD Cloud Console](https://console.jdcloud.com/), navigate to [Account Management] -> [Access Key Management] to find or create your unique credentials.

What regions are supported?

JD Cloud supports multiple regions including `cn-north-1` (Beijing), `cn-east-1` (Suzhou), `cn-east-2` (Shanghai), and `cn-south-1` (Guangzhou). Ensure you specify the correct region where your resources are located.

Does this server handle JDCLOUD2-HMAC-SHA256 signatures?

Yes! The server automatically calculates the required Signature v2 (JDCLOUD2-HMAC-SHA256) for every request using your provided Secret Key, ensuring high security for your cloud orchestration.

JD Cloud / 京东云 MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: JD Cloud / 京东云
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add JD Cloud / 京东云 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="jd_cloud_agent",
    instruction=(
        "You help users interact with JD Cloud / 京东云 "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About JD Cloud / 京东云 MCP Server

Empower your AI agent to orchestrate your cloud infrastructure and supply chain assets with JD Cloud (京东云), the premier cloud service provider by JD.com. By connecting JD Cloud to your agent, you transform complex virtual machine management, storage bucket auditing, and billing analysis into a natural conversation. Your agent can instantly retrieve VM instance details, list Object Storage Service (OSS) buckets, audit VPC networks, and retrieve comprehensive billing summaries without you ever needing to navigate the comprehensive JD Cloud Console. Whether you are managing e-commerce backend resources or coordinating high-volume digital distribution, your agent acts as a real-time cloud operations assistant, providing accurate results from a single, authorized source.

Google ADK natively supports JD Cloud / 京东云 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Compute Orchestration — List virtual machines, retrieve detailed instance metadata, and monitor operational status.
Storage Auditing — List Object Storage Service (OSS) buckets and manage cloud disk resources across regions.
Network Management — Retrieve details for Virtual Private Clouds (VPC) and coordinate network topology audits.
Financial Auditing — Retrieve comprehensive billing summaries for specific time ranges to maintain cost control.
Operational Monitoring — Verify project connectivity, active regions, and retrieve IAM account profile details.

The JD Cloud / 京东云 MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect JD Cloud / 京东云 to Google ADK via MCP

Follow these steps to integrate the JD Cloud / 京东云 MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from JD Cloud / 京东云 via MCP

Why Use Google ADK with the JD Cloud / 京东云 MCP Server

Google ADK provides unique advantages when paired with JD Cloud / 京东云 through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with JD Cloud / 京东云

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine JD Cloud / 京东云 tools with BigQuery, Vertex AI, and Cloud Functions

JD Cloud / 京东云 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the JD Cloud / 京东云 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query JD Cloud / 京东云 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine JD Cloud / 京东云 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query JD Cloud / 京东云 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including JD Cloud / 京东云

JD Cloud / 京东云 MCP Tools for Google ADK (8)

These 8 tools become available when you connect JD Cloud / 京东云 to Google ADK via MCP:

get_account_profile

Get IAM user info

get_billing_summary

Get billing overview

get_vm_detail

Get VM metadata

list_cicd_pipelines

List DevOps pipelines

list_cloud_disks

List block storage disks

list_oss_buckets

List storage buckets

list_vm_instances

List virtual machines

list_vpc_networks

List VPC networks

Example Prompts for JD Cloud / 京东云 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with JD Cloud / 京东云 immediately.

"List all my running virtual machines in region 'cn-north-1'."

"Check our JD Cloud billing summary from October 1st to October 15th."

"Show me the list of Object Storage (OSS) buckets in my account."

Troubleshooting JD Cloud / 京东云 MCP Server with Google ADK

Common issues when connecting JD Cloud / 京东云 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

JD Cloud / 京东云 + Google ADK FAQ

Common questions about integrating JD Cloud / 京东云 MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.