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How to Use the Drip MCP in Google ADK

Feed BigQuery customer data directly into Drip workflows using Google ADK and long-context Gemini agents.

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Google ADK

Connect Drip MCP to Google ADK

Create your Vinkius account to connect Drip 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 to Drip sync via Google ADK

This integration executes the Drip `create_or_update_subscriber` tool to sync BigQuery data directly via Google ADK. You restrict which Drip MCP Server tools are exposed using the Google ADK tool_names filter.

Long-context analysis of email campaigns

Your Google ADK agent evaluates email performance by calling the Drip `list_campaigns` and `list_broadcasts` tools. By checking `list_workflows`, the Google ADK agent maps out bottlenecks in your Drip automation.

Ingest GCP cloud events to Drip

Your system routes GCP application events directly to Drip using the Google ADK and the `record_event` tool. The Google ADK agent queries `list_custom_fields` first to verify the Drip schema matches your GCP event payload.

Setup guide

Set up Drip 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 Drip 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="Drip_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Drip 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 Drip. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Drip MCP in Google ADK

Install the package using `pip install google-adk` and define an `McpToolset` with your Vinkius HTTP URL. This exposes the Drip MCP Server tools to Gemini. Pass this toolset to your `LlmAgent` constructor to start managing subscribers.
Yes, use the `tool_names` filter when initializing your `McpToolset` inside Google ADK. This allows you to expose safe tools like `list_campaigns` while hiding destructive ones like `delete_subscriber`.
The Google ADK agent uses `record_event` to push actions to Drip. For high-volume pipelines, we recommend buffering events in Pub/Sub before letting the Google ADK agent process them.
Yes, you can feed massive subscriber lists fetched via `list_subscribers` directly into Gemini's context. The model analyzes the entire list and decides which tags to apply using `apply_tag` in a single run.
The Vinkius MCP Server isolates all event payloads and subscriber fields inside dedicated runtime sandboxes. Data is processed in-memory during tool execution and never written to persistent logs.

Start using the Drip MCP today

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