How to Use the Column MCP in Google ADK

Q: Does Column allow me to simulate transactions in Google ADK?

You can use columnsimulateach to test your money movement logic. This lets you confirm your agent's behavior before touching real funds.

Q: How do I filter which Column tools are exposed to my Google ADK agent?

The toolset allows you to pass a toolnames filter. This restricts the agent to only the specific banking functions you want to grant.

Q: Can I reconcile my BigQuery data against Column records in Google ADK?

You can fetch bank statements via columngetstatement and load them into your BigQuery tables. This keeps your financial data synced with your cloud storage.

Operate a chartered US bank directly through your Google ADK agent framework.

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Connect Column MCP to Google ADK

Create your Vinkius account to connect Column 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 Column with Google ADK

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Manage banking operations with Google ADK

Connect your Google Cloud agents to the bank API. You use `column_create_wire_transfer` to shift capital as soon as your logic confirms the need. This setup bridges your cloud infrastructure and your financial ledger. Your agent acts as the controller for every outbound payment.

Onboard entities using Google ADK

Register businesses or individuals for KYC compliance. The `column_create_entity` tool submits your data for vetting within the banking charter. Your agent manages the submission process. It keeps track of all active profiles using `column_list_entities` to ensure your records remain updated.

Integrate bank data into Google ADK pipelines

Pull historical transfer logs or account statements. Your agent invokes `column_list_transfers` and `column_get_statement` to ingest financial activity. This data feeds directly into your analytical workflows. It allows your agent to reason over long-term trends using the Gemini context window.

Setup guide

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

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Common questions about Column MCP in Google ADK

It is. You use the McpToolset class to map the server tools into your agent's available actions.

You can use `column_simulate_ach` to test your money movement logic. This lets you confirm your agent's behavior before touching real funds.

The toolset allows you to pass a tool_names filter. This restricts the agent to only the specific banking functions you want to grant.

You can fetch bank statements via `column_get_statement` and load them into your BigQuery tables. This keeps your financial data synced with your cloud storage.

Your bank account details are handled through a secure, encrypted transport layer. The Column server processes these requests inside an isolated sandbox, preventing exposure of your routing numbers.

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