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 LangChain 10 tools — connect in under 2 minutes

Name: Monnify
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Monnify through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "monnify": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Monnify, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Monnify through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Monnify MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Monnify via MCP

Why Use LangChain with the Monnify MCP Server

LangChain provides unique advantages when paired with Monnify through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Monnify MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Monnify queries for multi-turn workflows

Monnify + LangChain Use Cases

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

RAG with live data: combine Monnify tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Monnify, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Monnify tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Monnify tool call, measure latency, and optimize your agent's performance

Monnify MCP Tools for LangChain (10)

These 10 tools become available when you connect Monnify to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Monnify + LangChain FAQ

Common questions about integrating Monnify MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.