How to Use the JD Cloud / 京东云 MCP in AutoGen

Deploy multi-agent teams to manage JD Cloud / 京东云 resources with AutoGen.

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Connect JD Cloud / 京东云 MCP to AutoGen

Create your Vinkius account to connect JD Cloud / 京东云 to AutoGen 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 AutoGen

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Perplexity

Negotiate infrastructure changes with AutoGen

Let your security agent debate with your DevOps agent. They can review `list_vpc_networks` data before making any decisions. This keeps your infrastructure safe. Agents challenge each other's assumptions, ensuring the final decision is vetted.

Automate JD Cloud / 京东云 tasks with agents

Use the tool adapter to give your agents direct access to the API. They can check `list_cicd_pipelines` and report back on status without you lifting a finger. It removes the bottleneck of manual checks. Your agents handle the heavy lifting while you oversee the process.

Scale your JD Cloud / 京东云 operations

Build a swarm of agents that handle different parts of your cloud stack. One agent monitors billing, while another handles VM management. They work in concert to keep your infrastructure running. It’s a more resilient way to manage complex cloud environments.

Setup guide

Set up JD Cloud / 京东云 MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes JD Cloud / 京东云 tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="JD Cloud / 京东云_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent JD Cloud / 京东云 data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="JD Cloud / 京东云_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent JD Cloud / 京东云 data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

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

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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 AutoGen

You use the MCP tool adapter to connect the server. Once linked, you pass the tools to your AssistantAgent, and the agents handle the rest.

Yes, they can list and inspect networks via the tools. You can set up a specific agent to oversee network topology.

All communication is contained within the Vinkius sandbox. Your agents operate in an isolated environment that keeps your credentials safe.

They don't have to. You can define specific roles for each agent, so they only interact with the tools you authorize them to use.

They only see the metadata returned by the tools you enable, such as VM states or pipeline logs. Your raw data remains untouched.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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