How to Use the Chuanglan 253 MCP in Google ADK

Q: How does Google ADK handle Chuanglan 253 templates?

The model queries querytemplatelist to find approved layouts. It fills the dynamic {1} and {2} variables directly from your BigQuery records before sending.

Q: Does Google ADK support Chuanglan 253 voice calls?

Yes. You can program your agent to execute sendvoiceverification when standard text delivery fails.

Link Chuanglan 253 to Google ADK to trigger massive SMS campaigns straight from your BigQuery customer data.

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Connect Chuanglan 253 MCP to Google ADK

Create your Vinkius account to connect Chuanglan 253 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 Chuanglan 253 with Google ADK

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BigQuery to SMS Pipelines

Your enterprise data lives in Google Cloud. When you connect this MCP Server, your Gemini models can pull a million rows from BigQuery and immediately fire off text messages using `send_sms`. No middleman scripts required. Formatting international numbers is usually a nightmare. Your agent reads the country codes from your database and maps them perfectly into `send_international_sms`. It processes the entire campaign natively within your Google ADK workflow.

Monitor Balances with this MCP Server

Running out of credits mid-campaign kills your conversion rates. Your Google agent hits `get_sms_balance` and `get_account_info` before starting any major push. If the balance is insufficient, Gemini halts the process. You can configure the agent to alert your Vertex AI monitoring dashboard, ensuring you never try to send a million texts on an empty account.

Fallback Verification Systems

Two-factor authentication needs strict reliability. Your agent dispatches a standard text via `send_verification_sms` when a user attempts a login. If the user ignores the text, Gemini's massive context window remembers the exact login attempt. It pivots and triggers `send_voice_verification`, calling the user's phone to speak the code aloud.

Setup guide

Set up Chuanglan 253 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 Chuanglan 253 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="Chuanglan 253_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chuanglan 253 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 Chuanglan 253. 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 Chuanglan 253 MCP in Google ADK

Install google-adk and set up McpToolset with your Vinkius streamable HTTP url. Pass it into your LlmAgent tools array. You can use tool_names to restrict which SMS functions Gemini can access.

The MCP connection reads batch tracking identifiers natively. The agent calls `query_batch_sms_status` to parse delivery rates across thousands of messages at once.

The model queries `query_template_list` to find approved layouts. It fills the dynamic {1} and {2} variables directly from your BigQuery records before sending.

Yes. You can program your agent to execute `send_voice_verification` when standard text delivery fails.

You operate inside a zero-trust Vinkius container. The system processes highly sensitive international phone numbers and verification codes ephemerally. Once the Gemini API call finishes, the sandbox destroys all trace of the communication.

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