Modulr requires complex timestamped HMAC API Signatures, how does the prompt handle that?

We handle that completely in the background Engine! The Vinkius runtime grabs your static API Secret from configurations once. Then, every time the Language Model triggers a payment, our Node.js runtime creates random cryptographic hex Nonces, aligns current UTC Date limits, hashes the combination uniquely via SHA-256 and packs it into the underlying header dynamically natively.

Can the Agent generate new SEPA/UK Accounts?

Yes, using `modulr_create_account`, you can spawn multiple isolated UK GBP ledgers natively linked to customers.

Are cross-border Faster Payments supported natively?

Absolutely. You can inject external sorts codes inside the `modulr_create_payment` orchestrations delivering funds transparently via clearing houses.

Modulr MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Name: Modulr
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Modulr 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 Modulr "
            "(7 tools)."
        ),
    )

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

asyncio.run(main())

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 Modulr MCP Server

The Modulr MCP Server wraps incredibly defensive digital signatures (HMAC SHA-256) autonomously underneath a native Language Model Chat interface. Meaning, your AI has programmatic limits to fire secure European and British payment rails on command natively.

Pydantic AI validates every Modulr tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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.

Core Functionality

Create Modulr Customers/Accounts — Manage deeply nested multi-layered B2B structures. Automatically provision Sort-Code ledgers via modulr_create_account.
Payment Initiation — Run automated payroll or contractor compensation logic utilizing direct clearing paths mapping via modulr_create_payment.
Algorithmic Tracing — Check real-time payment states checking failures or settlements organically utilizing modulr_list_payments.

Use Cases

Lending Startups — Direct integration validating funds exactly when needed.
Payment Reconciliations — Have the Agent review your physical transactional ledger.

The Modulr MCP Server exposes 7 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 Modulr to Pydantic AI via MCP

Follow these steps to integrate the Modulr 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 7 tools from Modulr with type-safe schemas

Why Use Pydantic AI with the Modulr MCP Server

Pydantic AI provides unique advantages when paired with Modulr 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 Modulr integration code

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

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

Modulr + Pydantic AI Use Cases

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

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

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

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

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

Modulr MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect Modulr to Pydantic AI via MCP:

modulr_create_account

g. GBP or EUR). Instantiate a UK/EU Account under a specific Customer

modulr_create_beneficiary

, or IBAN. Map an external Recipient

modulr_create_payment

Trigger an outgoing Faster Payment or SEPA payout

modulr_get_accounts

List all live Accounts and mapped liquidity

modulr_get_customers

List underlying legal customers/entities inside Modulr

modulr_get_transactions

Audit transaction histories on a specific Account

modulr_list_payments

Check the status of massive payment arrays

Example Prompts for Modulr in Pydantic AI

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

"Check our main UK sub-account. View the history array mapped onto it to find pending activity."

"Initialize a payment stream. Register a Beneficiary named 'DevTeam' pointing to target Sort Code 123456 Acct 98765432. Send £5,000 from Account 'A110' natively."

"Scan our Modulr operational Customers and list the active instances returning metadata boundaries."

Troubleshooting Modulr MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Modulr + Pydantic AI FAQ

Common questions about integrating Modulr 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 Modulr MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.