How to Use the Chuanglan 253 / 创蓝 MCP in Google ADK

Q: Can Google ADK filter which Chuanglan 253 / 创蓝 tools the agent sees?

Yes. You pass an optional toolnames list when setting up the toolset. This prevents a customer support agent from accidentally calling sendvariablesms to your entire user base.

Q: Can I use the Chuanglan 253 / 创蓝 MCP server for one-click logins?

The flashcheck tool handles exactly this. Your agent receives the telecom token from the client application and verifies it instantly to authenticate the user.

Equip your Google ADK agents with the Chuanglan 253 / 创蓝 MCP Server to verify identities and text users.

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Connect Chuanglan 253 / 创蓝 MCP to Google ADK

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

Ask AI about this MCP

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Claude

Perplexity

Enterprise KYC Workflows

This server brings external validation to your environment so you can confirm user identities. You can't trust user input blindly. By connecting this toolset, your agent runs `verify_phone` to match the applicant's name, ID, and mobile number against actual carrier records. You store the onboarding data in BigQuery. The agent reads the pending applications, executes `flash_check` for instantaneous mobile login validation, and updates the database with the verified status. Gemini models process the raw document text, and this integration provides the factual cross-check.

Context-Aware SMS Routing

This server enables context-aware SMS routing based on deep customer interaction history. Your agent analyzes a million tokens of support logs before deciding what message to send. It then triggers `send_variable_sms` to deliver highly specific alerts based on that context. If the customer resides overseas, the agent automatically switches to `send_intl_sms`. You can restrict which tools the agent accesses using the tool_names filter during your setup. That keeps specialized agents focused on their exact domain.

Automated Campaign Auditing via MCP Server

Sending messages is only half the job. This server provides the delivery metrics your Google ADK agent needs to measure success. It pulls performance data using `pull_sms_reports` and cross-references those numbers against your internal BigQuery logs. To keep operations running, the agent periodically calls `get_balance`. It flags low credit warnings directly into your Google Cloud monitoring pipeline before campaigns stall out. You avoid manual dashboard checks entirely.

Setup guide

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

Install google-adk and initialize McpToolset with StreamableHttpServerParameters. Pass this toolset to your LlmAgent instance. The agent will read the available operations automatically.

Yes. You pass an optional tool_names list when setting up the toolset. This prevents a customer support agent from accidentally calling `send_variable_sms` to your entire user base.

You instruct the agent to monitor active campaigns. It will call `query_sms_status` for specific message IDs and write the delivery outcomes directly into your Vertex AI logs.

The `flash_check` tool handles exactly this. Your agent receives the telecom token from the client application and verifies it instantly to authenticate the user.

The connection operates on a zero-trust architecture. Your message payloads and recipient numbers route directly to the provider endpoint. Vinkius retains zero logs of your communication data.

Use it with your favorite AI tools

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

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