How to Use the ClearBank MCP in Google ADK

Q: Can Google ADK filter which ClearBank tools my agent sees?

Yes. Use the toolnames parameter when setting up the toolset. You can allow balance checks while blocking virtual account creation.

Connect Gemini agents to UK payment clearing using Google ADK.

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Connect ClearBank MCP to Google ADK

Create your Vinkius account to connect ClearBank 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 ClearBank with Google ADK

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ClearBank MCP Server for Gemini

Feed live UK payment ledgers directly into Google Cloud infrastructure. You pass a McpToolset to your LlmAgent, exposing all virtual account tools directly to your Gemini models. Long-context reasoning changes how you audit financial data. An agent can pull thousands of records via `clearbank_get_transactions` and map them against historical BigQuery datasets to spot settlement anomalies in seconds.

Automate UK Faster Payments

Trigger instant money movement based on Vertex AI signals. When your predictive model flags an optimal transfer window, the agent executes `clearbank_create_faster_payment` without human intervention. You can restrict exposed tools using the tool_names filter in the ADK. Keep your production agents scoped strictly to `clearbank_get_account_balances` until they explicitly need wire permissions.

Orchestrate high-value CHAPS wires

Bank of England operating hours dictate when high-value transfers settle. Your agent tracks the clock and queues a `clearbank_create_chaps_payment` exactly when the clearing window opens. Settlement tracking happens natively. The system loops `clearbank_get_payment_status` and writes the final confirmation directly to your BigQuery data warehouse.

Setup guide

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

Install google-adk via pip. Initialize a McpToolset using your Vinkius HTTP endpoint and pass it to your LlmAgent tools list. Gemini instantly understands the payment clearing commands.

Yes. Use the tool_names parameter when setting up the toolset. You can allow balance checks while blocking virtual account creation.

Gemini models hold over a million tokens in context. Your agent can ingest massive transaction logs and analyze entire payment histories in a single prompt.

Agents can read payment statuses from the MCP Server and write the results straight into BigQuery. It bridges your live banking operations with your Google Cloud data warehouse.

We run every command in an ephemeral V8 Isolate Sandbox. Your live balances and CHAPS payment instructions are never stored on our disks. The environment self-destructs after every execution.

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