How to Use the Deterministic Base Converter MCP in Google ADK

Q: How do I connect the Deterministic Base Converter to my Google ADK agent?

You instantiate an McpToolset with the server's URL and pass it into the tools list when creating your LlmAgent. The ADK framework handles the rest of the integration.

Let your Gemini agent on Google ADK parse any number base. Perfect for acting on raw data from BigQuery or Google Cloud.

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Connect Deterministic Base Converter MCP to Google ADK

Create your Vinkius account to connect Deterministic Base Converter 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 Deterministic Base Converter with Google ADK

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Perplexity

Translate Low-Level Data

The `convert_base` tool lets your agent convert numbers between any base from 2 to 36. This is for when your agent hits raw data formats—like binary logs or hex-encoded IDs—and needs to understand them correctly. Your Gemini agent can hold millions of tokens of context. Now it can fill that context with raw data from a Google Cloud Storage bucket and use this tool to make sense of it, all in one flow.

Shortcuts for Binary and Hex

This server has `convert_bin_to_dec` and `convert_hex_to_dec` for the most common developer conversions. Your agent doesn't need to be told the source base; it just calls the right tool for the job. This is a big deal when you're building enterprise agents on Google Cloud. You can point your ADK agent at a data source, and it has the specific tools needed to parse common non-decimal formats without complex prompting.

Enterprise-Ready MCP Server

This is a managed MCP server, built for environments like Google Cloud. It's sandboxed, secure, and provides a single endpoint for your LlmAgent to connect to. Setup is straightforward. You create an `McpToolset` with the server URL and pass it to your agent. You can even use the `tool_names` filter to expose only `convert_hex_to_dec` to an agent that only needs to handle hexadecimal.

Setup guide

Set up Deterministic Base Converter 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 Deterministic Base Converter 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="Deterministic Base Converter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Deterministic Base Converter tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Deterministic Base Converter MCP in Google ADK

You instantiate an `McpToolset` with the server's URL and pass it into the `tools` list when creating your `LlmAgent`. The ADK framework handles the rest of the integration.

Yes. The tools use BigInt arithmetic, so there's no practical limit to the size of the number being converted. It won't suffer from the floating-point errors or silent truncation you see with standard libraries.

This tool is deterministic and sandboxed. It's faster than spinning up a Python interpreter for a single calculation and safer because it can't execute arbitrary code. It's a specialized, reliable function call.

If your BigQuery tables contain data stored in non-decimal formats (e.g., hex-encoded strings), this tool gives your agent the ability to correctly interpret and operate on that data directly.

Nothing. The numeric strings and base information are used for the calculation and then immediately discarded. The server is stateless and runs in a memory-safe, isolated environment for each request.

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