How to Use the Benchmark Email MCP in Google ADK

Q: How do I set up the Benchmark Email MCP server with Google ADK?

You import McpToolset from the Google ADK library and initialize it with your Vinkius server URL. Then, you pass it into the tools list when creating your LlmAgent.

Q: Can I use Gemini's long context to analyze my Benchmark Email campaigns with Google ADK?

Yes. Your agent can call listemails and getreportdetails for multiple campaigns, feed all that data into the Gemini model's context window, and perform a complex analysis across all of them at once.

Q: How do I restrict a Google ADK agent to only read Benchmark Email data?

When you create the McpToolset, you can use the optional toolnames filter. Just provide a list of the read-only tool names, like 'listcontactlists', 'getreportdetails', to prevent the agent from making changes.

Connect Google ADK agents to Benchmark Email. Sync contacts from BigQuery and run campaigns based on your Gemini model's analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Benchmark Email MCP to Google ADK

Create your Vinkius account to connect Benchmark Email 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.

GDPR Free for Subscribers

Setup Benchmark Email with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enterprise Contact Sync

This server gives your Google ADK agent direct control over Benchmark Email lists and contacts. You can build agents that read customer data from a BigQuery table and use `add_contact` to push new subscribers into a specific list you create with `create_contact_list`. It's a straight shot from your data warehouse to your email platform. Your Gemini-powered agent can reason over large datasets, decide which contacts need to be added, and execute the changes through this MCP server. No more manual CSV exports and imports.

Pull Campaign Data for Analysis

Your agent can use these tools to pull campaign performance data right out of Benchmark Email. It can `list_reports` to find the latest campaign results and then use `get_report_details` to grab the specific open and click rates. The agent can then feed this data back into your Google Cloud ecosystem. Imagine an agent that pulls report data, joins it with sales data in BigQuery, and uses Vertex AI to find correlations. This MCP server is the bridge for that data flow.

Manage Email Lists with the Google ADK

Give your agent the tools to manage the full lifecycle of your email lists. It can `list_contact_lists` to see what exists, `get_contact_list` to check the size and details of a specific list, and even `list_contacts` within that list for auditing. Since Google ADK is designed for long-context reasoning, your agent can analyze the state of all your lists and suggest or perform cleanup operations. For example, it could identify old, inactive lists and archive the contacts, all based on rules you define.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Benchmark Email. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Benchmark Email now

Real-time monitoring

Live

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 Benchmark Email MCP in Google ADK

You import `McpToolset` from the Google ADK library and initialize it with your Vinkius server URL. Then, you pass it into the `tools` list when creating your `LlmAgent`.

Yes. Your agent can call `list_emails` and `get_report_details` for multiple campaigns, feed all that data into the Gemini model's context window, and perform a complex analysis across all of them at once.

When you create the `McpToolset`, you can use the optional `tool_names` filter. Just provide a list of the read-only tool names, like `['list_contact_lists', 'get_report_details']`, to prevent the agent from making changes.

Absolutely. The whole point is to connect your systems. A Google ADK agent can query BigQuery for a list of new customers and then use this MCP server's `add_contact` tool to add them to a Benchmark Email list in the same operation.

The agent interacts with your Benchmark Email account data—like campaign stats and contact info—through this server. The Vinkius platform runs each MCP server in a zero-trust, sandboxed environment, and all tool execution is logged within your Google Cloud project for auditing.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript