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How to Use the Avochato MCP in Google ADK

Build enterprise agents on the Google ADK that act on your Avochato communication data.

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…and any MCP-compatible client

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Google ADK

Connect Avochato MCP to Google ADK

Create your Vinkius account to connect Avochato 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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Manage Avochato contacts within the Google ADK

Your Gemini-powered agent can query your CRM using `list_contacts` to find specific users. It keeps your contact list fresh without human intervention. Update existing profiles with `update_contact` when your agent detects a change in lead status. This keeps your data in sync across your Google Cloud stack.

Run messaging workflows via this MCP Server

Deploy `send_message` to handle customer inquiries automatically. The agent uses its long-context window to craft responses based on history. Check your active campaigns using `list_broadcasts` to see what is currently live. This visibility helps your agent make better decisions about when to send.

Verify Avochato connections in your Google ADK agent

Call `get_account_check` to ensure your agent is authenticated before it starts processing. It prevents failed jobs due to token expiry. Use `who_am_i` to confirm which inbox the agent is currently targeting. This ensures your automated messages hit the right channel every time.

Setup guide

Set up Avochato 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Avochato 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="Avochato_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Avochato tools via MCP.",
    tools=mcp_tools,
)

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

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 Avochato MCP in Google ADK

Pass the server parameters to the McpToolset class. You then include this toolset in your LlmAgent definition to start making calls.
They will. By using `list_messages`, your agent reads past interactions to inform its next move.
You can. Use a tool_names filter to limit exactly which operations your agent can perform.
Vinkius isolates your server in a zero-trust environment. Your data stays within the secure sandbox session while the agent processes it.
It shares contact names, phone numbers, and SMS logs. These records are read-only unless the agent specifically triggers an update or send operation.

Start using the Avochato MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Avochato. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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