How to Use the Mixmax MCP in Google ADK

Q: Can Gemini use Google ADK to personalize Mixmax email templates?

Yes, the agent calls listsnippets to retrieve your standard templates and then injects personalized details sourced from your Vertex AI databases.

Q: What happens to my Mixmax contact data when using Google ADK?

Your contact records fetched via listcontacts are processed in ephemeral, isolated execution environments. Vinkius enforces a zero-trust model, ensuring no contact details are stored or used to train Google's models.

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Connect Mixmax MCP to Google ADK

Create your Vinkius account to connect Mixmax 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 Mixmax with Google ADK

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Enroll leads via Google ADK using BigQuery data

Executing `add_recipient_to_sequence` through the Google ADK allows Gemini to analyze millions of rows of customer data in BigQuery and immediately enroll qualified targets into Mixmax. The massive 1M+ token context window lets the agent ingest complete account histories before deciding which sequence fits best. You initialize the toolset using McpToolset, which exposes all ten Mixmax tools to your Gemini-powered LlmAgent. This MCP Server setup makes it easy to map the prospect's profile to the most relevant sales sequence automatically using `list_sequences`.

Google ADK native scheduling with Mixmax links

Calling `get_availability` and `list_appointment_links` via the Google ADK lets your Gemini agent cross-reference internal Google Calendar data with Mixmax booking links. This prevents scheduling conflicts by programmatically verifying open slots before proposing times to external prospects. The agent reads your Mixmax account details using `get_me` to verify timezone alignment. Because the ADK runs natively on Google Cloud, these calendar operations execute with single-digit millisecond latency.

Feed Mixmax events directly into Vertex AI pipelines

Running `list_events` with the Google ADK lets you stream real-time Mixmax email analytics straight into Vertex AI for predictive modeling. The agent parses open rates, clicks, and replies to adjust follow-up strategies on the fly. If a prospect shows high interest, the agent uses `create_reminder` to alert the account executive. You can use the optional tool_names filter in the ADK setup to restrict these Mixmax alert capabilities to specific high-priority service accounts.

Setup guide

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

Install the library via pip, instantiate McpToolset with the Vinkius HTTP streaming parameters, and pass it to your LlmAgent's tools parameter. The agent instantly gains access to all ten endpoints via this MCP Server.

Yes, the agent calls `list_snippets` to retrieve your standard templates and then injects personalized details sourced from your Vertex AI databases.

The ADK relies on Vinkius's managed infrastructure to handle connection pooling and request queuing. When tools like `add_recipient_to_sequence` are called in bulk, Vinkius buffers the calls using the secure MCP protocol to respect API thresholds.

Yes, you can pass a restricted list of tool names to the McpToolset server parameters. This ensures an agent only accesses `list_appointment_links` without having permission to write new sequences.

Your contact records fetched via `list_contacts` are processed in ephemeral, isolated execution environments. Vinkius enforces a zero-trust model, ensuring no contact details are stored or used to train Google's models.

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