Can I see my N26 Spaces balance?

Yes! Use the `get_n26_spaces` tool. It will return a list of all your sub-accounts (Spaces) along with their specific current balances.

Does this support transactions from all merchants?

The `get_n26_transactions` tool retrieves all visible transactions in your history, providing the merchant name or partner name as recorded by N26.

Is my banking data secure?

Yes. Your access token is encrypted at rest and only injected securely at runtime. The MCP server acts as a secure proxy and does not store your login credentials.

N26 Banking MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

Name: N26 Banking
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect N26 Banking through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to N26 Banking "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in N26 Banking?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About N26 Banking MCP Server

Equip your AI agent with real-time personal finance intelligence through the N26 MCP server. This integration provides secure access to your N26 bank accounts, allowing your agent to retrieve current balances, list multiple accounts, and fetch recent transaction history. Your agent can also explore N26 'Spaces' (sub-accounts) to monitor specific savings goals. Whether you are auditing your personal spending, tracking budget goals across Europe, or managing daily finances, your agent acts as a dedicated financial assistant through natural conversation.

Pydantic AI validates every N26 Banking tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Balance Inquiry — Get the real-time balance and IBAN for any of your N26 accounts.
Transaction History — Fetch recent transactions to audit your spending patterns and vendors across the Eurozone.
Space Monitoring — Retrieve details and balances for all your N26 Spaces.
Financial Auditing — Ask your agent to summarize your recent financial activity and sub-account status.

The N26 Banking MCP Server exposes 3 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect N26 Banking to Pydantic AI via MCP

Follow these steps to integrate the N26 Banking MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from N26 Banking with type-safe schemas

Why Use Pydantic AI with the N26 Banking MCP Server

Pydantic AI provides unique advantages when paired with N26 Banking through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your N26 Banking integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your N26 Banking connection logic from agent behavior for testable, maintainable code

N26 Banking + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the N26 Banking MCP Server delivers measurable value.

Type-safe data pipelines: query N26 Banking with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple N26 Banking tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query N26 Banking and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock N26 Banking responses and write comprehensive agent tests

N26 Banking MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect N26 Banking to Pydantic AI via MCP:

get_n26_accounts

List all N26 accounts

get_n26_spaces

Get N26 spaces and sub-account balances

get_n26_transactions

Get recent N26 transactions

Example Prompts for N26 Banking in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with N26 Banking immediately.

"Show me my N26 account balance."

"What are my last 3 transactions on N26?"

"List all my N26 Spaces and their balances."

Troubleshooting N26 Banking MCP Server with Pydantic AI

Common issues when connecting N26 Banking to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

N26 Banking + Pydantic AI FAQ

Common questions about integrating N26 Banking MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your N26 Banking MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.