How to Use the Mav MCP in Google ADK

Q: Can I restrict which Mav tools are visible in Google ADK?

You can. Use the toolnames filter when setting up your McpToolset. This lets you hide tools like stopplaybook if you want to limit what your agent can do.

Q: Is it possible to list all playbooks via Google ADK?

Yes, just call listplaybooks within your agent flow. It returns a full list of your available Mav playbooks so the agent can pick the right one for the job.

Integrate Mav with Google ADK to scale SMS lead qualification across your enterprise cloud infrastructure.

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Connect Mav MCP to Google ADK

Create your Vinkius account to connect Mav 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 Mav with Google ADK

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Automate outreach using Google ADK

Your agent uses `create_lead` to initiate SMS conversations the moment a new record appears in your pipeline. It ensures your response time stays low, which is the main factor in getting a meeting booked. By calling `get_playbook`, your agent understands exactly how to talk to the prospect. It keeps the tone consistent with your brand without requiring human oversight for every single text.

Sync lead data through Google ADK

Your agent uses `update_lead` to ensure the latest contact info is always in play. It prevents outdated data from causing confusion during the qualification process. If a lead is no longer a good fit, the agent uses `opt_out_lead` to stop the sequence immediately. It protects your reputation while keeping your CRM clean and focused on high-intent prospects.

Track interaction history in Google ADK

Call `list_activities` to see the full history of SMS events for a specific lead. Your agent uses this context to decide if the current playbook is working or if it needs to switch tactics. You can also use `list_leads` to filter your audience by status. It allows your agent to prioritize the hottest prospects while letting the others stay in a long-term nurture flow.

Setup guide

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

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Common questions about Mav MCP in Google ADK

You create an McpToolset using your Vinkius server URL. Once you add that toolset to your LlmAgent, your Gemini-powered agent can start texting leads immediately.

You can. Use the tool_names filter when setting up your McpToolset. This lets you hide tools like `stop_playbook` if you want to limit what your agent can do.

It does. Because the server is hosted on Vinkius, it handles the load while your agent focuses on reasoning. It is built to support high-volume SMS qualification.

Yes, just call `list_playbooks` within your agent flow. It returns a full list of your available Mav playbooks so the agent can pick the right one for the job.

Data is processed within a secure Vinkius V8 isolate. The server manages all lead contact info, ensuring your agent only interacts with the specific fields you authorize.

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