IBAN.com MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add IBAN.com as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 IBAN.com. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in IBAN.com?"
)
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 IBAN.com MCP Server
Empower your AI agent to orchestrate your entire financial auditing and banking verification workflow with IBAN.com, the leading platform for payment data intelligence. By connecting IBAN.com to your agent, you transform complex account verification into a natural conversation. Your agent can instantly verify if an IBAN is valid, audit SWIFT/BIC codes, and retrieve detailed bank metadata without you ever touching a manual validation portal. Whether you are managing international payments or conducting financial due diligence, your agent acts as a real-time banking analyst, ensuring your payment data is always verified and accurate.
LlamaIndex agents combine IBAN.com tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- IBAN Auditing — Verify if any international bank account number is valid and retrieve detailed bank metadata, including branch and city info.
- SWIFT Oversight — Audit SWIFT/BIC codes to maintain a clear view of global routing authenticity.
- Payment Intelligence — Calculate IBANs from local account details to assist in international payment setup instantly.
- Compliance Intelligence — Validate credit card numbers using the Luhn algorithm to ensure data integrity in your financial records.
- Usage Monitoring — Check your API request balance and metadata to maintain strict control over your research volume.
The IBAN.com MCP Server exposes 6 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 IBAN.com to LlamaIndex via MCP
Follow these steps to integrate the IBAN.com 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 6 tools from IBAN.com
Why Use LlamaIndex with the IBAN.com MCP Server
LlamaIndex provides unique advantages when paired with IBAN.com through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine IBAN.com tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain IBAN.com tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query IBAN.com, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what IBAN.com tools were called, what data was returned, and how it influenced the final answer
IBAN.com + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the IBAN.com MCP Server delivers measurable value.
Hybrid search: combine IBAN.com real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query IBAN.com 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 IBAN.com for fresh data
Analytical workflows: chain IBAN.com queries with LlamaIndex's data connectors to build multi-source analytical reports
IBAN.com MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect IBAN.com to LlamaIndex via MCP:
calculate_iban
Calculate an IBAN from local account details
get_api_balance
Check remaining API request balance
get_bank_details
Get detailed bank information from an IBAN
validate_card_luhn
Validate a credit card number using the Luhn algorithm
validate_iban
Verify if an IBAN code is valid and retrieve bank metadata
validate_swift_bic
Verify if a SWIFT/BIC code is valid
Example Prompts for IBAN.com in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with IBAN.com immediately.
"Validate the IBAN 'DE12345678901234567890' using IBAN.com."
"Check the SWIFT/BIC code 'CHASUS33'."
"Calculate the IBAN for a UK account with number 12345678 and sort code 10-20-30."
Troubleshooting IBAN.com MCP Server with LlamaIndex
Common issues when connecting IBAN.com to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpIBAN.com + LlamaIndex FAQ
Common questions about integrating IBAN.com 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 IBAN.com 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 IBAN.com to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.