How to Use the emfluence Marketing MCP in Google ADK

Q: How do I connect the emfluence Marketing MCP Server to Google ADK?

You initialize the connection using McpToolset with your server parameters. Then, pass the MCP toolset into your LlmAgent constructor inside the tools list. This exposes all ten marketing endpoints to your Gemini models instantly.

Q: Can I limit which tools Google ADK can access from my emfluence account?

Yes, you can pass an optional toolnames filter to restrict exposure. This lets you block sensitive actions while still allowing the agent to read stats using getemailperformancestats. It is a great way to maintain strict access control.

Q: How does emfluence Marketing handle large lists inside Google ADK?

The agent calls listcontacttargetgroups to retrieve all active segments. Because Google ADK runs on Gemini's long context, your agent can process these groups alongside getgroupdetails to make complex targeting choices.

Q: Does this MCP toolset support BigQuery integrations?

Yes, your agent can pull contact records using listmarketingcontacts and write them directly to your BigQuery datasets. This lets you combine live campaign data with your core enterprise tables.

Q: How secure is my emfluence Marketing contact data when queried via Google ADK?

All subscriber profiles pulled using getcontactprofile are processed in an ephemeral, zero-trust sandbox. No data is cached on Vinkius infrastructure, keeping your enterprise Google ADK pipelines compliant.

Scale enterprise email campaigns directly from Google ADK with Gemini long-context reasoning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect emfluence Marketing MCP to Google ADK

Create your Vinkius account to connect emfluence Marketing 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 emfluence Marketing with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Enterprise Volumes Using Google ADK

The `quick_marketing_volume_audit` tool provides a direct window into your campaign activity levels. When your Google ADK agent runs this command, it can process thousands of data points at once using Gemini's massive context window. This allows you to monitor your account limits without hitting rate limits. To cross-reference this data with your data warehouse, the agent pulls details via `get_emfluence_account_metadata`. This MCP integration lets you feed account settings directly into your BigQuery pipelines for advanced marketing analytics.

Map Customer Journeys with Vertex AI

The `get_contact_profile` tool retrieves the complete interaction history for any individual subscriber. Inside Google ADK, your agent can analyze these deep profiles to predict customer lifetime value. This removes the need to manually export CSVs for list segmentation. If you need to find a specific user, the agent calls `search_contacts_by_email` to locate them. This direct lookup keeps your Vertex AI pipelines fed with clean, real-time data from your marketing database.

Analyze Performance Metrics in Google ADK

The `get_email_performance_stats` tool delivers raw open and click metrics for your campaigns. Your Gemini-powered agent reads these stats directly to evaluate which subject lines drive the most engagement. This replaces manual reporting sheets with automated, context-aware summaries. For granular campaign checks, the agent runs `list_marketing_emails` to scan your entire message archive. This MCP Server setup ensures your enterprise models always work with verified, live performance data.

Setup guide

Set up emfluence Marketing 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 emfluence Marketing 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="emfluence Marketing_agent",
    model="gemini-2.0-flash",
    instruction="You have access to emfluence Marketing 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 emfluence Marketing. 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 emfluence Marketing 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 emfluence Marketing MCP in Google ADK

You initialize the connection using `McpToolset` with your server parameters. Then, pass the MCP toolset into your `LlmAgent` constructor inside the tools list. This exposes all ten marketing endpoints to your Gemini models instantly.

Yes, you can pass an optional `tool_names` filter to restrict exposure. This lets you block sensitive actions while still allowing the agent to read stats using `get_email_performance_stats`. It is a great way to maintain strict access control.

The agent calls `list_contact_target_groups` to retrieve all active segments. Because Google ADK runs on Gemini's long context, your agent can process these groups alongside `get_group_details` to make complex targeting choices.

Yes, your agent can pull contact records using `list_marketing_contacts` and write them directly to your BigQuery datasets. This lets you combine live campaign data with your core enterprise tables.

All subscriber profiles pulled using `get_contact_profile` are processed in an ephemeral, zero-trust sandbox. No data is cached on Vinkius infrastructure, keeping your enterprise Google ADK pipelines compliant.

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