How to Use the Dripcel MCP in Google ADK

Q: How do I connect the Dripcel MCP server to a Google ADK agent?

First, run pip install google-adk and set up your McpToolset using your Vinkius HTTP URL. Pass this toolset into the tools parameter of your LlmAgent to let Gemini call tools like sendwhatsappmessage directly.

Q: Does Dripcel support both Stdio and HTTP transports in Google ADK?

Yes. The Google ADK McpToolset can connect to this MCP server using either transport layer. For production environments running on Cloud Run or GKE, the Streamable HTTP transport is highly recommended for stability.

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Setup Dripcel with Google ADK

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Enterprise WhatsApp automation via Google ADK

Bring your customer data from BigQuery straight to WhatsApp. The Google ADK lets Gemini analyze millions of rows of customer data and immediately act on it by triggering `send_whatsapp_message` through the Dripcel MCP server. This setup thrives on Gemini's massive context window. You can feed entire message logs from `list_whatsapp_messages` directly into the LLM, allowing the model to draft highly contextual responses based on years of conversation history.

Scalable contact synchronization and filtering

Managing thousands of leads requires tight organization. By using `McpToolset` in your Google ADK pipeline, you can filter which tools are exposed to Gemini, ensuring it only uses `search_instance_contacts` and `list_instance_contacts` when cleaning up database records. This keeps your agent focused and prevents it from accidentally invoking heavy operations. The ADK handles the transport layer under the hood, translating Gemini's tool calls into clean API requests that fetch contact details instantly.

Multi-instance health monitoring in Vertex AI

Run a tight operation by monitoring all your WhatsApp senders. Your Google ADK agent can poll `quick_instance_health_audit` to get a bird's-eye view of your entire fleet of active phone lines. When an instance acts up, the agent drills down with `get_instance_details` and `get_whatsapp_connection_status`. This allows your Vertex AI pipelines to automatically flag disconnected numbers before they disrupt customer support queues.

Setup guide

Set up Dripcel 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 Dripcel 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="Dripcel_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dripcel tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Dripcel MCP in Google ADK

First, run `pip install google-adk` and set up your `McpToolset` using your Vinkius HTTP URL. Pass this toolset into the `tools` parameter of your `LlmAgent` to let Gemini call tools like `send_whatsapp_message` directly.

Yes. You can use the optional tool names filter when initializing your `McpToolset` in Google ADK. This allows you to expose only `quick_instance_health_audit` for monitoring, while hiding destructive or messaging tools.

Your WhatsApp contact records and message logs are protected because the ADK communicates with Vinkius over secure, ephemeral channels. No contact data retrieved by `list_instance_contacts` is stored on Google's model training servers, maintaining strict enterprise compliance.

Yes. The Google ADK `McpToolset` can connect to this MCP server using either transport layer. For production environments running on Cloud Run or GKE, the Streamable HTTP transport is highly recommended for stability.

Gemini's million-token context window inside Google ADK lets you pull massive message feeds using `list_whatsapp_messages`. The agent can analyze months of customer interactions in a single turn to find patterns or draft replies.

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