How to Use the JD Cloud / 京东云 MCP in Google ADK

Q: Can I use Google ADK to filter JD Cloud / 京东云 tools?

Yes. You can provide a toolnames list to the McpToolset to limit the server functions available to your agent.

Bridge your JD Cloud / 京东云 resources to your Google ADK agent for long-context analysis.

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Connect JD Cloud / 京东云 MCP to Google ADK

Create your Vinkius account to connect JD Cloud / 京东云 to Google ADK 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 Google ADK

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Deep infrastructure inspection

Your agent uses `get_vm_detail` and `list_cloud_disks` to pull specific metadata into the Gemini context window. This allows the model to reason over your entire storage and compute layout. It processes large lists of resources without hitting token limits. You can query your infrastructure state as easily as you query a local database.

Connect JD Cloud / 京东云 to your workflow

The `McpToolset` class exposes all eight server tools to your `LlmAgent`. You can filter these tools to restrict access to specific operations like `list_vpc_networks`. This keeps your agent focused on the tasks that matter. You control which parts of your cloud configuration are visible to the model.

Unified resource monitoring

Your agent iterates through `list_cicd_pipelines` to correlate build events with infrastructure changes. It connects these dots using native Google ADK tool calling. This removes the need for custom API wrappers. Your agent interacts with the cloud directly through the tools provided by this server.

Setup guide

Set up JD Cloud / 京东云 MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with JD Cloud / 京东云 tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="JD Cloud / 京东云_agent",
    model="gemini-2.0-flash",
    instruction="You have access to JD Cloud / 京东云 tools via MCP.",
    tools=mcp_tools,
)

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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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Common questions about JD Cloud / 京东云 MCP in Google ADK

Pass the server endpoint to the McpToolset constructor. This integrates the JD Cloud / 京东云 tools directly into your agent's tool registry.

Yes. You can provide a tool_names list to the McpToolset to limit the server functions available to your agent.

The framework manages async tool calls efficiently. When your agent invokes `list_oss_buckets`, it waits for the response within the standard execution flow.

The server supports both Stdio and HTTP transports. You choose the one that fits your Google ADK deployment architecture.

Data is transmitted over encrypted channels directly to your agent. Vinkius ensures that your VM and billing information is never logged or stored by the server infrastructure.

Use it with your favorite AI tools

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