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How to Use the CM.com MCP in Google ADK

Connect Gemini models to CM.com via Google ADK to trigger multi-channel messaging directly from your enterprise data pipelines.

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Google ADK

Connect CM.com MCP to Google ADK

Create your Vinkius account to connect CM.com 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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BigQuery-driven messaging using Google ADK MCP Server

Your Gemini agents can read customer segments from BigQuery and immediately trigger personalized campaigns. By exposing `send_whatsapp` and `send_sms` tools to the agent, you bridge the gap between your cloud data warehouse and active customer communication. This integration allows the model to process thousands of customer profiles in its massive context window. It then determines the best channel and calls `send_rich_message` with highly tailored templates.

Automated voice notifications from Vertex pipelines

You can construct automated alert systems that call `send_voice_message` or `send_voice_otp` when system anomalies are detected. The Google ADK manages these calls directly from your serverless functions or Vertex AI workflows. Because Gemini handles long-context reasoning, it can summarize complex system logs before passing the distilled notification to the voice tool. This ensures users get clear, spoken alerts instead of raw, confusing log dumps.

Account balance monitoring inside enterprise agent workflows

Enterprise agents can proactively check your messaging budget by querying the `get_balance` MCP tool. This check runs before initiating any large-scale communication campaigns to prevent mid-run failures. If the balance drops below your specified threshold, the agent can use `send_email` to alert your finance team. This automated safeguard keeps your communication channels running without manual monitoring.

Setup guide

Set up CM.com 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. 1

    Install Google ADK

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

  2. 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. 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. 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 CM.com 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="CM.com_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CM.com tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CM.com. 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 CM.com MCP in Google ADK

Install google-adk and define your toolset using McpToolset with the StreamableHttpServerParameters pointing to your Vinkius endpoint. Pass this toolset into your LlmAgent instance to expose the messaging tools to Gemini.
Yes, you can pass an optional tool_names filter when initializing your toolset. This lets you restrict a specific agent to only use send_sms while hiding administrative tools like list_numbers.
The framework uses Gemini's reasoning capabilities to batch recipient lists before invoking send_whatsapp. This structured approach prevents rate-limiting issues and optimizes delivery speeds.
Yes, Gemini can call send_voice_otp when a user requests a spoken verification code. The model passes the recipient's phone number and the system handles the voice generation.
All phone numbers and SMS content processed by the agent remain within your Google Cloud boundary and the secure Vinkius V8 sandbox. No messaging payloads are stored or used to train public models.

Start using the CM.com MCP today

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