Can I use this server with the Monnify Sandbox?

This implementation defaults to the live production URL. To use the sandbox, the underlying engine code would need to be updated to point to 'sandbox.monnify.com'.

What information is required to reserve a virtual account?

You need to provide a unique account reference, the account name to display, and the customer's full name and email address.

Are all Nigerian banks supported?

Most major commercial banks in Nigeria are supported. You can use the `list_banks` tool to see the current list of supported institutions for transfers and reservations.

Monnify MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Monnify
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

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

asyncio.run(main())

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* 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 Monnify MCP Server

Connect your Monnify merchant account to your AI agent and manage your Nigerian payment operations and customer virtual accounts through natural conversation.

Pydantic AI validates every Monnify tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Transaction Monitoring — List all payments and get real-time status updates and references.
Virtual Account Reservation — Create and manage dedicated virtual bank accounts for your customers.
Payment Initialization — Start new payment processes and generate checkout URLs for card or transfer payments.
Disbursements & Transfers — Track outgoing bank transfers and payouts from your account.
Invoice Management — Access digital invoices generated via the Monnify platform.
Settlement Tracking — Monitor the history of payouts from Monnify to your corporate bank account.
Bank Discovery — List all supported Nigerian banks for disbursements and account verification.

The Monnify MCP Server exposes 10 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 Monnify to Pydantic AI via MCP

Follow these steps to integrate the Monnify 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 10 tools from Monnify with type-safe schemas

Why Use Pydantic AI with the Monnify MCP Server

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

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

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

Monnify + Pydantic AI Use Cases

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

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

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

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

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

Monnify MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Monnify to Pydantic AI via MCP:

get_account_details

Get reserved account details

get_transaction

Get transaction details

init_payment

Initialize a payment transaction

list_banks

List supported Nigerian banks

list_disbursements

List bank transfers (disbursements)

list_monnify_invoices

List Monnify digital invoices

list_reserved_accounts

List reserved virtual accounts

list_settlements

List merchant settlements

list_transactions

List Monnify transactions

reserve_account

Create a reserved virtual account

Example Prompts for Monnify in Pydantic AI

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

"List my most recent transactions on Monnify."

"Reserve a virtual account for a new customer named 'Ayo Balogun'."

"List all Nigerian banks supported by Monnify."

Troubleshooting Monnify MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Monnify + Pydantic AI FAQ

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