How to Use the Drip MCP in Google ADK

Q: How do I connect the Drip MCP Server to my Google ADK agent?

Install the package with pip install google-adk. Initialize McpToolset using your Vinkius HTTP endpoint, and pass it to the tools parameter of your LlmAgent to expose the marketing actions.

Q: How does Google ADK restrict access to Drip tools?

Use the toolnames filter when setting up your McpToolset. You can limit the agent to harmless tools like listtags and getsubscriber while blocking destructive tools like removetag.

Q: What happens to my Drip custom event data privacy?

All event details sent via recordevent are routed through isolated V8 sandboxes that do not cache or store your payloads. Your customer email addresses and custom field keys remain fully encrypted in transit.

Feed Drip subscriber data directly into Gemini's 1M token context window using the Google ADK.

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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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Setup Drip with Google ADK

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Bulk Syncing with Google ADK

Sync offline customer segments back to Drip using `list_subscribers` and `create_subscriber`. Connect your customer database to your marketing engine using this MCP Server. Your Google ADK agent can retrieve thousands of records and cross-reference them with BigQuery datasets. This integration handles deep profile analysis by calling `get_subscriber` to fetch custom fields. The agent parses years of customer history in a single turn, updating profiles with `tag_subscriber` to ensure your active segments stay clean.

Trigger Large-Scale Workflows via Google ADK

Inspect your active automation funnels using `list_workflows` and `start_workflow`. Run complex email logic based on analytical insights generated by Gemini models. Because Google ADK supports the `tool_names` filter, you can restrict your agent to only trigger specific actions like `list_campaigns`. This prevents your model from accidentally pausing active broadcast series while it processes batch data.

Event Tracking and Tag Audits with this MCP Server

Register customer interactions directly using `record_event` to log custom milestones. The agent updates your CRM to reflect real-time app usage without relying on middleware. To keep your taxonomy organized, the agent calls `list_tags` to verify existing labels before executing `remove_tag`. This keeps your billing tiers optimized by removing stale contacts from expensive automated lists.

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

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 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,
)

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Common questions about Drip MCP in Google ADK

Install the package with `pip install google-adk`. Initialize `McpToolset` using your Vinkius HTTP endpoint, and pass it to the `tools` parameter of your `LlmAgent` to expose the marketing actions.

Yes. Gemini's long context allows the agent to read bulk data from BigQuery, map the records, and run sequential `create_subscriber` or `tag_subscriber` calls to update your audience.

Use the `tool_names` filter when setting up your `McpToolset`. You can limit the agent to harmless tools like `list_tags` and `get_subscriber` while blocking destructive tools like `remove_tag`.

Yes, this MCP Server fully supports both Stdio and Streamable HTTP transports. Pass your Vinkius HTTP URL into the `StreamableHttpServerParameters` configuration to connect your Google Cloud agent.

All event details sent via `record_event` are routed through isolated V8 sandboxes that do not cache or store your payloads. Your customer email addresses and custom field keys remain fully encrypted in transit.

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