N26 Banking MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add N26 Banking as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to N26 Banking. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in N26 Banking?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine N26 Banking tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the N26 Banking MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the N26 Banking MCP Server
LlamaIndex provides unique advantages when paired with N26 Banking through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine N26 Banking tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain N26 Banking tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query N26 Banking, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what N26 Banking tools were called, what data was returned, and how it influenced the final answer
N26 Banking + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the N26 Banking MCP Server delivers measurable value.
Hybrid search: combine N26 Banking real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query N26 Banking to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying N26 Banking for fresh data
Analytical workflows: chain N26 Banking queries with LlamaIndex's data connectors to build multi-source analytical reports
N26 Banking MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect N26 Banking to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting N26 Banking to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpN26 Banking + LlamaIndex FAQ
Common questions about integrating N26 Banking MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect N26 Banking with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect N26 Banking to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.