How to Use the IBAN.com MCP in Google ADK

Q: How do I install and configure the IBAN.com MCP Server in Google ADK?

Run pip install google-adk and configure your StreamableHttpServerParameters with your Vinkius credentials. Pass this configuration as a toolset to your LlmAgent instance. The model will instantly gain access to all six banking verification tools.

Q: What happens when the API balance runs low?

The getapibalance tool returns your remaining transaction credits so your agent can monitor usage. You can configure the agent to alert your engineering team before your credits run out. This ensures your automated payment lines never go offline.

Connect Gemini models to IBAN.com using Google ADK to validate global bank accounts directly from your enterprise data.

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Connect IBAN.com MCP to Google ADK

Create your Vinkius account to connect IBAN.com 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 IBAN.com with Google ADK

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Enterprise bank audits with Google ADK

The `get_bank_details` tool retrieves routing information and branch details for any IBAN processed by your Gemini agents. Your pipeline reads raw transaction logs from BigQuery and uses this tool to verify bank locations in real time. You initialize this check by passing `McpToolset` with your HTTP server parameters to the `LlmAgent`. The model handles the validation logic using its long-context window, letting you audit thousands of records in a single run.

Automate cross-border SWIFT validation

The `validate_swift_bic` tool verifies SWIFT codes to ensure international wire transfers route to active financial institutions. Your Google ADK agent calls this tool before updating payment records in your cloud database. This MCP Server integration eliminates routing errors by confirming the BIC format before you initiate the wire. It acts as a safety gate, stopping invalid transfers at the edge of your Google Cloud infrastructure.

Calculate IBANs from raw bank account details

The `calculate_iban` tool generates standard international bank account numbers from local routing and account numbers. Your Gemini agent uses this tool to convert legacy spreadsheet data into standardized formats. You can restrict your Google ADK agent to only use this specific MCP tool by applying a tool name filter to your `McpToolset` configuration. This limits the agent's scope, ensuring it only performs conversions without exposing other endpoints.

Setup guide

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

Yes, your Gemini agent can read rows from BigQuery and pass them to the `validate_iban` tool. The agent processes each account number sequentially and writes the validation status back to your database. This lets you clean legacy banking records at scale.

Run `pip install google-adk` and configure your `StreamableHttpServerParameters` with your Vinkius credentials. Pass this configuration as a toolset to your `LlmAgent` instance. The model will instantly gain access to all six banking verification tools.

Yes, Google ADK allows Gemini to analyze complex financial documents and extract data for the `validate_swift_bic` tool. The model can parse raw emails or PDF invoices, locate the BIC, and verify it in one step. This reduces the need for manual data entry workflows.

The `get_api_balance` tool returns your remaining transaction credits so your agent can monitor usage. You can configure the agent to alert your engineering team before your credits run out. This ensures your automated payment lines never go offline.

The MCP Server runs in a zero-trust, ephemeral sandbox that handles bank codes and SWIFT identifiers without persistent storage. All transmissions are encrypted, and your API keys are managed securely at the proxy level. The `validate_iban` tool never saves the bank account details it analyzes.

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