How to Use the JD Cloud / 京东云 MCP in OpenAI Agents SDK

Manage your JD Cloud / 京东云 infrastructure directly inside your OpenAI Agents SDK production pipeline.

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Connect JD Cloud / 京东云 MCP to OpenAI Agents SDK

Create your Vinkius account to connect JD Cloud / 京东云 to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JD Cloud / 京东云 with OpenAI Agents SDK

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Automated VM and VPC discovery

Your agent inspects your environment by running `list_vm_instances` and `list_vpc_networks` to map out your current footprint. Stop hunting through consoles when you need to know exactly what is running. It pulls live data into your agent logic. You get immediate visibility into your network topology without leaving your Python code.

Secure billing and profile tracking

Use `get_billing_summary` to feed your agent real-time cost data for automated reporting. It avoids manual lookups by grabbing numbers directly from the source. Your agent checks account permissions via `get_account_profile` before executing any high-level tasks. This keeps your operations within the guardrails you defined.

Pipeline and storage management

The agent monitors your deployment health by calling `list_cicd_pipelines` to check for stalled builds. It then cross-references this with `list_oss_buckets` to ensure your build artifacts landed where expected. This setup connects your cloud storage to your deployment logic. You gain a clear view of your infrastructure state through the tools your agent already uses.

Setup guide

Set up JD Cloud / 京东云 MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all JD Cloud / 京东云 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives JD Cloud / 京东云 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate JD Cloud / 京东云 tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="JD Cloud / 京东云 Agent",
            instructions="You have access to JD Cloud / 京东云 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JD Cloud / 京东云. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about JD Cloud / 京东云 MCP in OpenAI Agents SDK

You initialize the server by passing the endpoint to the MCPServerStreamableHttp constructor. Once that is done, your agent automatically discovers the eight available tools.

Yes. The SDK handles schema validation during the tool call. It ensures your agent provides the correct arguments for `get_vm_detail` or any other tool before the request hits the API.

The server supports the standard transport protocols expected by the SDK. You can stream tool outputs back to your agent in real time.

Your credentials reside on the Vinkius hosting environment. The server uses an endpoint token to communicate securely with your cloud resources.

Vinkius runs this MCP server in a V8 Isolate sandbox. Your VM metadata and billing records stay isolated from other processes during the entire execution lifecycle.

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