How to Use the Avochato MCP in Google ADK

Q: How do I configure Avochato with Google ADK?

Instantiate McpToolset with your Vinkius HTTP endpoint. Pass that object into the LlmAgent tools array. You can optionally restrict exposed functions using the toolnames filter.

Connect Gemini enterprise agents to Avochato SMS via Google ADK.

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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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Setup Avochato with Google ADK

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The Avochato MCP Server gives your Gemini models direct access to two-way business messaging. Your agent analyzes customer data in BigQuery and triggers `send_message` to alert users about account changes. Long-context reasoning allows Gemini to review massive chat histories. It pulls entire conversation threads using `list_messages` and synthesizes the context before drafting a reply.

Sync CRM data with BigQuery

Enterprise agents need accurate routing information. The system creates new profiles via `create_contact` and pulls existing records with `get_contact` to verify phone numbers. Mass updates happen automatically. Your agent grabs the full directory using `list_contacts` and pushes modifications back through `update_contact` based on Vertex AI predictions.

Automate Avochato support queues

This MCP Server tracks real-time state changes for customer issues. The agent monitors active threads with `list_tickets` and modifies their resolution status using `update_ticket`. Cloud infrastructure relies on event callbacks to trigger workflows. You configure endpoints via `create_webhook`, audit them with `list_webhooks`, and remove stale routes using `delete_webhook`.

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

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 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,
)

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 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.

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Common questions about Avochato MCP in Google ADK

Instantiate `McpToolset` with your Vinkius HTTP endpoint. Pass that object into the `LlmAgent` tools array. You can optionally restrict exposed functions using the `tool_names` filter.

Yes, the system pulls SMS logs directly into Gemini's context window. It calls `list_messages` to retrieve the data for analysis.

Gemini 1.5 Pro handles massive conversation histories easily. Your agent pulls thousands of records via `list_tickets` and processes them in a single prompt.

The Google framework supports both Stdio and HTTP transports. You will use the HTTP protocol to connect to the managed Vinkius endpoint.

Zero-trust architecture ensures your phone numbers and SMS content remain private. The Vinkius proxy validates your single endpoint token and immediately drops the connection state after routing the request.

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