How to Use the Blended CAC Calculator MCP in Google ADK

Get granular financial insights into CAC using Google ADK.

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Connect Blended CAC Calculator MCP to Google ADK

Create your Vinkius account to connect Blended CAC Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Blended CAC Calculator with Google ADK

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CAC Trend Analysis for Google ADK

Your agent can track month-over-month changes in CAC or total spend by calling `analyze_mom_trend`. This is perfect when you're pulling large datasets from BigQuery and need to spot efficiency dips instantly. It keeps the analysis grounded in your core GCP data.

Optimal Budget Allocation via MCP Server

Stop allocating budget based on gut feeling. The `assess_budget_efficiency` tool ranks your channels and suggests optimal spending percentages, giving you actionable recommendations. It's designed for the kind of enterprise scale Google ADK handles.

Calculate CAC Metrics for Google ADK

The foundation starts with `calculate_cac_metrics`. This tool processes your spend amounts and channel names, generating both blended and per-channel cost metrics. It's the necessary first step before any high-level forecasting.

Setup guide

Set up Blended CAC Calculator 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 Blended CAC Calculator 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="Blended CAC Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Blended CAC Calculator 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 Blended CAC Calculator. 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 Blended CAC Calculator MCP in Google ADK

Since your agent is already operating within the Google Cloud ecosystem, this MCP acts like a specialized toolset. You pass it data from BigQuery and get actionable cost metrics back.

The server processes spending amounts and channel names. Credentials go through a zero-trust proxy; your keys never sit on a disk, keeping everything compliant.

Yes. By analyzing historical spend data and projecting trends using `analyze_mom_trend`, your agent can build models that account for sustained, multi-period investment strategies.

It's highly dependable. Every tool call generates a cryptographically signed audit trail, meaning you always know exactly what happened and that no data was tampered with.

It does. Because Vinkius handles all infrastructure, this MCP can process structured financial data sets efficiently, supporting your enterprise needs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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