How to Use the Cloopen / 容联云 MCP in Google ADK

Q: Can Cloopen / 容联云 help my Google ADK agent handle SMS templates?

Use listtemplates to view your available SMS formats. Your agent can then select the right template and use sendsms to dispatch it.

Bridge your Google ADK agent logic to Cloopen / 容联云 telephony and messaging services.

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Connect Cloopen / 容联云 MCP to Google ADK

Create your Vinkius account to connect Cloopen / 容联云 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 Cloopen / 容联云 with Google ADK

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Google ADK integration for Cloopen / 容联云

Connect your Gemini-powered agents to `send_sms` or `query_sms` to manage your messaging lifecycle. You can now build workflows that react to data in BigQuery by sending real-time notifications. This setup allows your agent to check status updates for any sent message. You maintain total visibility over your communication stack without switching contexts.

Telephony control with Google ADK

Use `list_landing_calls` to start automated outreach campaigns triggered by your Google Cloud infrastructure. It puts your agent in the driver's seat for customer engagement. `get_ivr` gives your agent the context needed to navigate complex phone trees. It makes sense of your telephony setup in seconds.

Manage Cloopen / 容联云 assets via Google ADK

Use `list_apps` to inventory your active projects and `get_app` to inspect specific configurations. Your agent maintains an accurate view of your entire communication footprint. This ensures your deployment logic matches your actual application state. It removes the risk of out-of-sync configurations in your cloud environment.

Setup guide

Set up Cloopen / 容联云 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 Cloopen / 容联云 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="Cloopen / 容联云_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cloopen / 容联云 tools via MCP.",
    tools=mcp_tools,
)

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 Cloopen / 容联云. 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 Cloopen / 容联云 MCP in Google ADK

Use the McpToolset class with your server URL. Pass it into your LlmAgent tool list and your agent will see the tools immediately.

Yes, the integration is native and supports both Stdio and HTTP transports. You can filter tool access if you want to limit what the agent can touch.

Use `list_templates` to view your available SMS formats. Your agent can then select the right template and use `send_sms` to dispatch it.

We use a zero-trust architecture. Every request is isolated, and your credentials are encrypted at rest.

We enforce strict memory isolation within the V8 sandbox. Your specific message content is never logged or persisted beyond the short-lived execution context.

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