How to Use the N26 Banking MCP in Google ADK

Q: Can I filter N26 Banking data for Google ADK agents?

You can use the toolnames filter in your McpToolset to restrict which functions your agent can execute.

Q: Does Google ADK support N26 Banking MCP Server natively?

Yes. You configure the server through the StreamableHttpServerParameters class and pass it to your agent's toolset.

Integrate N26 Banking into your Google ADK environment to power enterprise-grade financial agents on Google Cloud.

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Connect N26 Banking MCP to Google ADK

Create your Vinkius account to connect N26 Banking 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 N26 Banking with Google ADK

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Account status reporting for Google ADK

The `get_n26_accounts` tool provides a snapshot of your financial health. Your agent ingest this data to inform high-level planning. This allows your Google Cloud-based agents to maintain context on your primary account balances.

Granular space tracking for Google ADK

Use `get_n26_spaces` to track individual savings contributions. Your agent separates core spending from allocated funds for better accuracy. This tool ensures your agent understands your full financial structure across all sub-accounts.

Transactional auditing for Google ADK

Pull detailed history with `get_n26_transactions` to audit your recent cash flow. Your agent identifies trends by analyzing these specific records. It connects your banking history to your broader enterprise data workflows.

Setup guide

Set up N26 Banking 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 N26 Banking 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="N26 Banking_agent",
    model="gemini-2.0-flash",
    instruction="You have access to N26 Banking tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about N26 Banking MCP in Google ADK

The server uses a zero-trust architecture. Data is ephemeral and only accessed when your agent triggers a specific tool call.

You can use the tool_names filter in your `McpToolset` to restrict which functions your agent can execute.

Yes. You configure the server through the `StreamableHttpServerParameters` class and pass it to your agent's toolset.

The tool retrieves your transaction stream as structured JSON. Your agent then maps this to your internal logic or BigQuery exports.

The data exists only for the duration of the request. Once the agent completes its cycle, the server wipes the transient state.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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