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 AutoGen 8 tools — connect in under 2 minutes

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

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add JD Cloud / 京东云 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="jd_cloud_agent",
            tools=tools,
            system_message=(
                "You help users with JD Cloud / 京东云. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use JD Cloud / 京东云 tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from JD Cloud / 京东云 automatically

Why Use AutoGen with the JD Cloud / 京东云 MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use JD Cloud / 京东云 tools to solve complex tasks

Role-based architecture lets you assign JD Cloud / 京东云 tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive JD Cloud / 京东云 tool calls

Code execution sandbox: AutoGen agents can write and run code that processes JD Cloud / 京东云 tool responses in an isolated environment

JD Cloud / 京东云 + AutoGen Use Cases

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

Collaborative analysis: one agent queries JD Cloud / 京东云 while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from JD Cloud / 京东云, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using JD Cloud / 京东云 data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process JD Cloud / 京东云 responses in a sandboxed execution environment

JD Cloud / 京东云 MCP Tools for AutoGen (8)

These 8 tools become available when you connect JD Cloud / 京东云 to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

JD Cloud / 京东云 + AutoGen FAQ

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

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call JD Cloud / 京东云 tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.