How to Use the Altoviz MCP in Google ADK

Q: How do I initialize the Altoviz MCP Server inside Google ADK?

Install google-adk and create a McpToolset using StreamableHttpServerParameters. Pass that toolset directly to your LlmAgent initialization.

Q: Can I filter which Altoviz tools Gemini can see?

You control exactly what the model accesses. Use the toolnames filter in the ADK to restrict the agent to just listproducts or getproductdetails.

Connect Gemini agents to Altoviz via Google ADK to analyze quotes and customers across massive context windows.

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Connect Altoviz MCP to Google ADK

Create your Vinkius account to connect Altoviz 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 Altoviz with Google ADK

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Cross-Reference BigQuery and Altoviz

Enterprise teams usually have customer behavior data sitting in Google Cloud, waiting to be merged with Altoviz billing records via the MCP Server. You connect the endpoint to your Gemini agent to bridge your data warehouse and your billing system. The agent grabs active client profiles using `list_customers`, then writes a BigQuery SQL statement to match those accounts against product usage metrics. You get immediate answers without writing custom ETL pipelines.

Analyze Quotes with Gemini Long Context

Gemini works best when you feed it massive amounts of text from Altoviz tools like `list_sale_quotes`. You can dump hundreds of proposals into the model through the Google ADK toolset. Once it has the list, the agent iterates through `get_sale_quote_details` to construct a timeline of your pricing history. It reads the entire dataset at once to identify discount trends over the past year.

Process Altoviz Receipts in Google ADK

Building autonomous finance agents requires reliable access to Altoviz expense data via the MCP standard. Your Vertex AI deployment uses `list_receipts` to pull raw expense records directly into the reasoning engine. The model categorizes each expense based on your custom prompt instructions. If it needs vendor context, it triggers `list_suppliers` to map the receipt to the correct third-party vendor.

Setup guide

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

Install `google-adk` and create a `McpToolset` using `StreamableHttpServerParameters`. Pass that toolset directly to your `LlmAgent` initialization.

You control exactly what the model accesses. Use the `tool_names` filter in the ADK to restrict the agent to just `list_products` or `get_product_details`.

It supports both Stdio and HTTP transports natively. Vinkius provides the HTTP endpoint, so you just drop the URL into your server parameters.

The ADK handles the tool execution loop natively. You avoid writing boilerplate code to parse the Altoviz response and feed it back into Gemini.

Vinkius processes your supplier lists and receipt metadata in an isolated, zero-trust sandbox. The connection requires a single endpoint token, meaning your core API keys never leave the secure boundary.

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