How to Use the Email Marketing Performance Calculator MCP in Google ADK

Sync your Email Marketing Performance Calculator with Google ADK to analyze campaign data directly from your enterprise cloud.

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Connect Email Marketing Performance Calculator MCP to Google ADK

Create your Vinkius account to connect Email Marketing Performance 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 Email Marketing Performance Calculator with Google ADK

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Perplexity Vinkius runs on Gemini

Gemini

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Native Google ADK performance tracking

Your agent needs hard numbers to make decisions. By using `calculate_delivery_metrics`, it pulls your current bounce and open rates directly into your existing Google Cloud workflow. This removes the need for manual CSV exports. Your agent handles the heavy lifting by calling these tools within your established infrastructure.

Benchmark against industry standards

Context is everything when you are running high-volume campaigns. The `get_industry_benchmark` tool lets your agent pull external data to see if your current performance is actually up to par. Pair this with `calculate_engagement_metrics` to see where your specific audience is falling off. It turns raw data into actionable insights for your team.

Revenue-focused agent workflows

Turn your email stats into clear revenue reports using `calculate_revenue_metrics`. It helps your agent map specific campaign actions to your bottom line without extra overhead. Since this MCP integrates with Google ADK, you can keep your data pipeline tight. Everything stays within your agent environment for consistent reporting.

Setup guide

Set up Email Marketing Performance 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 Email Marketing Performance 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="Email Marketing Performance Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Email Marketing Performance 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 Email Marketing 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 Email Marketing Performance Calculator MCP in Google ADK

You use the McpToolset class to link this MCP to your agent. Once configured, your agent accesses the tools as part of its standard execution flow.

Yes, you can use a tool filter in your agent configuration. This limits the available tools to only what your specific workflow requires.

It provides clean, structured output that fits perfectly into long-context windows. Your agent can digest large sets of performance data with ease.

This MCP operates within your controlled environment. It does not store or share your email stats with any external parties.

It only touches the performance metrics you pass to it, such as open counts, click totals, and revenue figures. No sensitive subscriber PII is required for these calculations.

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