How to Use the GoCardless MCP in Google ADK

Q: How do I configure the GoCardless MCP Server within a Google ADK agent?

Install the ADK via pip and instantiate McpToolset with your Vinkius HTTP URL. Pass this toolset to your LlmAgent definition to make all twelve payment tools immediately available to Gemini.

Q: Can I restrict which GoCardless tools my Google ADK agent can access?

Yes, the ADK supports an optional toolnames filter. You can restrict the agent to read-only tools like listpaymentcustomers and block execution tools like createnewpayment entirely.

Q: Does Google ADK support real-time payout reconciliation with GoCardless?

Yes, the agent can call listmerchantpayouts to pull recent bank deposits and map them against internal invoices. Gemini's reasoning capabilities handle the cross-referencing between bank records and customer IDs.

Q: How does the GoCardless MCP Server handle high-volume token contexts in Google ADK?

The ADK feeds raw JSON outputs from tools like listpaymentcustomers directly into Gemini's long-context window. The model processes thousands of customer rows without truncation or memory loss.

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Connect GoCardless MCP to Google ADK

Create your Vinkius account to connect GoCardless 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 GoCardless with Google ADK

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Query massive direct debit records with Google ADK

The `list_direct_debit_payments` tool connects your Gemini-powered agent to your historical payment ledger. Google ADK uses Gemini's 1M+ token context window to parse thousands of payment records at once, letting the agent spot long-term payment trends. You can feed this transaction data directly into BigQuery, combining external bank records with internal customer profiles. The agent uses `get_payment_details` to isolate specific transactions and update your warehouse tables.

Monitor customer mandates via our dedicated MCP Server

The `get_mandate_status` tool provides real-time verification of customer direct debit agreements. Google ADK exposes this tool to your agent, enabling automated compliance checks before any batch invoicing runs. If an agreement is inactive, the agent calls `list_payment_mandates` to find alternative active setups for that specific customer. This workflow runs entirely within your Google Cloud infrastructure, keeping financial actions close to your data.

Validate API connectivity across Google Cloud services

The `verify_api_connection` tool checks the health of your payment gateway integration instantly. Google ADK runs this check as a startup task, ensuring your agent system is authenticated before handling customer requests. If the connection drops, the agent uses `get_account_details` to verify the active merchant account configuration. This prevents silent execution failures during high-volume direct debit runs.

Setup guide

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

Install the ADK via pip and instantiate `McpToolset` with your Vinkius HTTP URL. Pass this toolset to your `LlmAgent` definition to make all twelve payment tools immediately available to Gemini.

Yes, the ADK supports an optional `tool_names` filter. You can restrict the agent to read-only tools like `list_payment_customers` and block execution tools like `create_new_payment` entirely.

Yes, the agent can call `list_merchant_payouts` to pull recent bank deposits and map them against internal invoices. Gemini's reasoning capabilities handle the cross-referencing between bank records and customer IDs.

The ADK feeds raw JSON outputs from tools like `list_payment_customers` directly into Gemini's long-context window. The model processes thousands of customer rows without truncation or memory loss.

Vinkius manages your API keys in an ephemeral V8 sandbox, meaning Google ADK never exposes credentials to the LLM. Customer metadata returned by `get_customer_details` is processed in memory and never written to persistent logs.

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