How to Use the ClickSend MCP in Google ADK

Q: Can Google ADK agents process incoming SMS responses from ClickSend?

Yes, the model invokes listreceivedsms to read incoming texts. This lets Gemini analyze the sentiment of customer replies in real time.

Q: Can Gemini handle physical mail tracking?

Yes, the agent uses getphysicalmailhistory to retrieve letter delivery data. The long-context model can compile these physical logs alongside digital touchpoints.

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Connect ClickSend MCP to Google ADK

Create your Vinkius account to connect ClickSend 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 ClickSend with Google ADK

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BigQuery-Driven SMS via Google ADK

Your Google ADK agent pulls phone lists from BigQuery and triggers text dispatches using `send_clicksend_sms`. The Gemini model handles long-context contact lists to personalize every message over this MCP connection. If the agent needs to verify the billing state, it runs `get_clicksend_account_info` before executing the batch. This prevents pipeline interruptions due to insufficient funds.

Analytics on Voice and Text History

Feed your voice logs into Vertex AI by fetching records with `get_voice_call_history` and `get_sms_outbound_history`. Google ADK allows your models to analyze patterns across millions of tokens of communications data. You run these checks to optimize call times based on historical pick-up rates. Gemini processes the raw API responses directly in its context window.

Contact List Syncing

Keep your CRM updated by extracting contacts with `list_clicksend_contacts` and scanning campaigns via `list_sms_marketing_campaigns`. Google ADK maps these fields into your Google Cloud storage databases. Restricting tools is straightforward with the ADK toolset filter. You can expose only the contact tools to read-only agents while blocking write access.

Setup guide

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

Create an McpToolset instance using the Vinkius HTTP URL and pass it to your LlmAgent. The tools are exposed to Gemini models instantly.

Yes, the model invokes list_received_sms to read incoming texts. This lets Gemini analyze the sentiment of customer replies in real time.

You pass a filtered list of tool names to your toolset constructor. This limits the MCP capabilities available to the LLM.

Yes, the agent uses get_physical_mail_history to retrieve letter delivery data. The long-context model can compile these physical logs alongside digital touchpoints.

Your contact lists and outbound SMS logs remain isolated within your Google Cloud boundary and the Vinkius secure sandbox. This MCP setup never exposes your raw credentials to the LLM, passing them safely through the managed gateway.

Use it with your favorite AI tools

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