How to Use the Denim MCP in Google ADK

Q: Does Google ADK support Denim MCP servers directly?

You use the McpToolset class and pass your Vinkius HTTP endpoint URL. Then, assign that toolset to your LlmAgent instance in Python. This exposes all Denim actions directly to Gemini.

Q: Can I limit which MCP tools Google ADK sees?

Yes, you can pass a toolnames filter to the McpToolset constructor. This lets you restrict your agent so it can only run listemailtemplates without having access to modify contacts.

Connect Denim to the Google ADK to run large-scale marketing campaigns with Gemini.

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Connect Denim MCP to Google ADK

Create your Vinkius account to connect Denim 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 Denim with Google ADK

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Expose Denim to Gemini via Google ADK MCP Server

The `list_crm_contacts` tool fetches your entire lead database so your Gemini agent can analyze it. Because Gemini handles over a million tokens of context, you can feed massive contact lists directly into the model for deep segmentation. This setup lets you run complex reasoning over your customer base without hitting context limits. You get highly personalized target groups based on real CRM data.

Analyze marketing campaigns with BigQuery data

The `get_campaign_analytics` tool extracts performance data for any active Denim campaign. Your Google ADK agent can join this live performance data with offline SQL tables stored in BigQuery. This MCP setup lets you build enterprise-grade marketing dashboards inside your Google Cloud environment. You no longer have to manually export CSVs to compare campaign returns against your warehouse data.

Search active marketing campaigns instantly

The `search_active_campaigns` tool queries your running marketing initiatives by keyword. Your agent uses this to find specific active promotions and verify their status before launching new ones. It prevents your team from running overlapping promotions that conflict with each other. The agent gets instant visibility into what is live right now.

Setup guide

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

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Common questions about Denim MCP in Google ADK

You use the `McpToolset` class and pass your Vinkius HTTP endpoint URL. Then, assign that toolset to your `LlmAgent` instance in Python. This exposes all Denim actions directly to Gemini.

Yes, our integration supports both Stdio and HTTP transports. For cloud deployments, we recommend the HTTP transport to keep your agent serverless and lightweight.

Your marketing data stays within your Google Cloud boundaries when you route calls through our secure proxy. The agent reads contact lists and campaign structures, but the raw data never trains public models.

Yes, you can pass a `tool_names` filter to the `McpToolset` constructor. This lets you restrict your agent so it can only run `list_email_templates` without having access to modify contacts.

All campaign metrics and contact lists are transmitted over TLS 1.3 and processed in ephemeral V8 isolates. Vinkius does not write your marketing data to persistent storage. Your analytics remain completely confidential.

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