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IBAN.com MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

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

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 IBAN.com "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())
IBAN.com
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every IBAN.com tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

  • 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 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 IBAN.com to Pydantic AI via MCP

Follow these steps to integrate the IBAN.com MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 6 tools from IBAN.com with type-safe schemas

Why Use Pydantic AI with the IBAN.com MCP Server

Pydantic AI provides unique advantages when paired with IBAN.com through the Model Context Protocol.

01

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

02

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

03

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

04

Dependency injection system cleanly separates your IBAN.com connection logic from agent behavior for testable, maintainable code

IBAN.com + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the IBAN.com MCP Server delivers measurable value.

01

Type-safe data pipelines: query IBAN.com with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple IBAN.com tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query IBAN.com and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock IBAN.com responses and write comprehensive agent tests

IBAN.com MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect IBAN.com to Pydantic AI via MCP:

01

calculate_iban

Calculate an IBAN from local account details

02

get_api_balance

Check remaining API request balance

03

get_bank_details

Get detailed bank information from an IBAN

04

validate_card_luhn

Validate a credit card number using the Luhn algorithm

05

validate_iban

Verify if an IBAN code is valid and retrieve bank metadata

06

validate_swift_bic

Verify if a SWIFT/BIC code is valid

Example Prompts for IBAN.com in Pydantic AI

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

01

"Validate the IBAN 'DE12345678901234567890' using IBAN.com."

02

"Check the SWIFT/BIC code 'CHASUS33'."

03

"Calculate the IBAN for a UK account with number 12345678 and sort code 10-20-30."

Troubleshooting IBAN.com MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IBAN.com + Pydantic AI FAQ

Common questions about integrating IBAN.com MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect IBAN.com to Pydantic AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.