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 OpenAI Agents SDK 8 tools — connect in under 2 minutes

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

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect JD Cloud / 京东云 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="JD Cloud / 京东云 Assistant",
            instructions=(
                "You help users interact with JD Cloud / 京东云. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from JD Cloud / 京东云"
        )
        print(result.final_output)

asyncio.run(main())

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High SecurityEnterprise-grade

IAMAccess control

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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.

The OpenAI Agents SDK auto-discovers all 8 tools from JD Cloud / 京东云 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries JD Cloud / 京东云, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the JD Cloud / 京东云 MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

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

Why Use OpenAI Agents SDK with the JD Cloud / 京东云 MCP Server

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

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

JD Cloud / 京东云 + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query JD Cloud / 京东云, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries JD Cloud / 京东云, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through JD Cloud / 京东云 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query JD Cloud / 京东云 to resolve tickets, look up records, and update statuses without human intervention

JD Cloud / 京东云 MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect JD Cloud / 京东云 to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

JD Cloud / 京东云 + OpenAI Agents SDK FAQ

Common questions about integrating JD Cloud / 京东云 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.