How to Use the Mautic MCP in Google ADK

Q: How do I configure the Mautic MCP Server inside Google ADK?

Install the SDK via pip install google-adk. Initialize McpToolset with your Vinkius HTTP URL, and pass that toolset directly to your LlmAgent instance.

Q: Can I limit which Mautic actions the Google ADK agent can perform?

Yes, you can use the toolnames filter when setting up your toolset. This restricts the agent to specific functions like listcontacts while blocking write tools like createcontact.

Q: Is my customer campaign data secure when using Google ADK?

Yes, all campaign metadata retrieved via listcampaigns is encrypted in transit. Vinkius runs the server in an isolated sandbox, keeping your API keys and marketing databases isolated from the LLM provider.

Feed Gemini's 1M-token context window with your live Mautic marketing data using Google ADK.

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Connect Mautic MCP to Google ADK

Create your Vinkius account to connect Mautic 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 Mautic with Google ADK

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Enterprise lead analysis with Google ADK

Connect your Gemini models directly to your marketing database. Your agent can pull thousands of records using `list_contacts` and map them against enterprise datasets stored in BigQuery. By calling `get_contact` and `get_company` in real time, the agent builds a complete picture of your pipeline. This lets you run complex reasoning steps on lead behavior without exporting CSVs.

Automated campaign execution via MCP Server tools

Let your Google Cloud agents manage marketing tracks directly. The agent uses `list_campaigns` and `get_campaign` to analyze active customer journeys and decide which segments need attention. When the agent identifies hot leads, it calls `add_contact_to_segment` or `create_contact` to route them instantly. This MCP integration removes the latency between cloud-based data analysis and marketing execution.

Email template auditing and selection

Give your agent direct visibility into your communication assets. It uses `list_emails` and `get_email` to read your active templates and check if they match current brand guidelines. Because Gemini handles massive context, it can review dozens of email templates at once. The agent flags outdated messaging and suggests updates based on current campaign performance.

Setup guide

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

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Common questions about Mautic MCP in Google ADK

Install the SDK via `pip install google-adk`. Initialize `McpToolset` with your Vinkius HTTP URL, and pass that toolset directly to your `LlmAgent` instance.

Yes, you can use the `tool_names` filter when setting up your toolset. This restricts the agent to specific functions like `list_contacts` while blocking write tools like `create_contact`.

Gemini's long context window easily processes hundreds of contacts returned by `list_contacts`. The agent can analyze complex trends across your entire customer list in a single turn.

Yes, the integration works over both Stdio and HTTP transports. You can run your agent locally for testing or deploy it to Google Cloud Run using the HTTP endpoint.

Yes, all campaign metadata retrieved via `list_campaigns` is encrypted in transit. Vinkius runs the server in an isolated sandbox, keeping your API keys and marketing databases isolated from the LLM provider.

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