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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Monnify
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Monnify as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Monnify. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Monnify tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Monnify MCP Server

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

Data-first architecture: LlamaIndex agents combine Monnify tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Monnify tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Monnify, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Monnify tools were called, what data was returned, and how it influenced the final answer

Monnify + LlamaIndex Use Cases

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

Hybrid search: combine Monnify real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Monnify to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Monnify for fresh data

Analytical workflows: chain Monnify queries with LlamaIndex's data connectors to build multi-source analytical reports

Monnify MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Monnify + LlamaIndex FAQ

Common questions about integrating Monnify MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Monnify tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.