How to Use the DoubleTick MCP in Google ADK

Q: How do I initialize the DoubleTick MCP Server in Google ADK?

Install the library with pip install google-adk and create an McpToolset instance pointing to your Vinkius HTTP URL. This connects your agent to the MCP Server in seconds.

Q: Can Google ADK agents restrict which DoubleTick tools are active?

Yes, you can pass a toolnames filter list to the McpToolset constructor. This limits the agent's access to specific MCP tools, like allowing contact searches while blocking template delivery.

Q: How does Google ADK analyze long WhatsApp message threads?

The agent uses listconversationmessages to fetch entire chat histories. Gemini's large context window then processes the entire transcript to resolve complex customer issues in one turn.

Q: Can I link my DoubleTick contact lists to BigQuery using Google ADK?

You can configure your agent to fetch records via listwhatsappcontacts and write them to BigQuery. This enables real-time reporting on your customer database directly within Google Cloud.

Run enterprise WhatsApp agents using Google ADK to analyze conversation logs and sync contact records with Google Cloud.

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Connect DoubleTick MCP to Google ADK

Create your Vinkius account to connect DoubleTick 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 DoubleTick with Google ADK

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Sync WhatsApp history with Google ADK

The `list_conversation_messages` tool pulls raw chat transcripts from specific threads, while `list_latest_whatsapp_messages` tracks the newest incoming customer queries. Your Gemini-powered agent processes these messages via the MCP standard, using its 1M+ token context window to analyze long-term customer sentiment and conversation history. Because the framework integrates with Google Cloud, you can feed these retrieved chat logs directly into BigQuery for sentiment analysis. This architecture lets you build automated pipelines that analyze customer feedback without manual exports.

Verify opt-in status across your database

The `list_opted_in_contacts` tool isolates customers who consented to receive messages, while `list_whatsapp_contacts` lists every registered contact in your account. Your agent uses these lists to ensure compliance prior to launching any automated notification workflows. The Google ADK toolset allows you to apply a `tool_names` filter to restrict access to sensitive endpoints. You can configure your agent to only access the contact verification tools, keeping the actual messaging capabilities locked down.

Audit messaging limits and execution rates

The `get_doubletick_account_metadata` tool retrieves your current messaging limits, while `quick_whatsapp_volume_audit` provides a summary of delivery success rates. Your agent queries these endpoints to track system health and avoid hitting API rate limits. By combining these metrics with Vertex AI monitoring, you can track how efficiently your agent handles message volume. This setup helps you identify delivery bottlenecks and optimize your outbound scheduling.

Setup guide

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

Install the library with `pip install google-adk` and create an `McpToolset` instance pointing to your Vinkius HTTP URL. This connects your agent to the MCP Server in seconds.

Yes, you can pass a `tool_names` filter list to the `McpToolset` constructor. This limits the agent's access to specific MCP tools, like allowing contact searches while blocking template delivery.

The agent uses `list_conversation_messages` to fetch entire chat histories. Gemini's large context window then processes the entire transcript to resolve complex customer issues in one turn.

You can configure your agent to fetch records via `list_whatsapp_contacts` and write them to BigQuery. This enables real-time reporting on your customer database directly within Google Cloud.

All API requests run through ephemeral Vinkius MCP sandboxes that instantly dissolve after executing your tools. Your message contents, templates, and phone numbers are processed in-memory and never written to persistent logs.

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