How to Use the IBAN Bank Validator MCP in Pydantic AI

Q: How do I configure the IBAN Bank Validator with Pydantic AI?

You instantiate the MCPToolset with the Vinkius HTTP URL and pass it to your Agent's toolsets list. This lets your agent call the validateiban tool with full type safety during runtime.

Q: What happens if the validation fails?

The validateiban tool returns a structured response indicating validation failure. Your agent receives this typed data and can halt the transaction or ask the user for a corrected string.

Catch invalid bank transfers at runtime with strict Pydantic AI validation and Modulus 97 checksums.

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Connect IBAN Bank Validator MCP to Pydantic AI

Create your Vinkius account to connect IBAN Bank Validator to Pydantic AI 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 IBAN Bank Validator with Pydantic AI

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Type-safe Modulus 97 math in Pydantic AI

Executing the `validate_iban` tool ensures that your agent receives a strictly typed response for every calculation. The tool parses the string, runs the Modulus 97 algorithm, and returns the validation status. If the input string is malformed, the framework raises a validation error immediately. This loud failure prevents your application from passing corrupted account data to downstream payment processors.

Secure your runtime with this MCP Server

Adding the `validate_iban` tool from this MCP Server to your agent setup gives you a mathematical lock on your transaction inputs. You can validate raw inputs before they touch your database, eliminating the risk of LLM hallucinations. The tool matches the input against 80+ country formats before running the checksum. Your agent can confidently process international transfers knowing the structural rules are strictly enforced.

Schema-enforced validation in Pydantic AI

Defining your toolset with the `validate_iban` tool takes only a single configuration line. The framework maps the JSON schema from the MCP registry directly to your Pydantic models. This setup guarantees that your agent cannot pass bad parameters to the math engine. You get clean, validated responses that fit perfectly into your typed codebase.

Setup guide

Set up IBAN Bank Validator MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "iban-bank-validator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to IBAN Bank Validator tools.",
)

result = await agent.run("List recent IBAN Bank Validator transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBAN Tools. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about IBAN Bank Validator MCP in Pydantic AI

You instantiate the `MCPToolset` with the Vinkius HTTP URL and pass it to your Agent's toolsets list. This lets your agent call the `validate_iban` tool with full type safety during runtime.

Regular expressions only check the format, not the math. The IBAN Bank Validator runs the full Modulus 97 algorithm on the string, ensuring the account number is mathematically valid.

Yes, the MCP Server supports async calls over HTTP or SSE transports. This allows your agent to validate multiple bank account strings concurrently without blocking your event loop.

The `validate_iban` tool returns a structured response indicating validation failure. Your agent receives this typed data and can halt the transaction or ask the user for a corrected string.

Every IBAN string processed by this MCP Server is handled within an isolated, ephemeral V8 sandbox on Vinkius. No banking data or routing codes are ever stored on disk or used for training models.

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