How to Use the Monnify MCP in Mastra AI

Q: Can I use human-in-the-loop for Monnify actions in Mastra AI?

Yes, you can enable requireToolApproval for sensitive operations. Your agent will pause before executing initpayment until you sign off on the transaction details.

Build resilient payment workflows in Mastra AI using the Monnify MCP server to handle logic and retries.

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…and any MCP-compatible client

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Connect Monnify MCP to Mastra AI

Create your Vinkius account to connect Monnify to Mastra 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 Monnify with Mastra AI

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Claude

Perplexity

Mastra AI workflow automation

Connect your Mastra AI agents to Monnify to create complex payment loops. You define the conditional logic, and the agent uses `reserve_account` or `init_payment` to execute the steps. If a transaction fails, the agent handles the retry logic automatically based on the constraints you set in your workflow file.

Granular transaction oversight

Monitor your financial health by chaining `list_transactions` with internal validation tools. Your agents cross-reference these records to flag discrepancies before they impact your ledger. This setup turns your agent into a financial auditor that acts on real-time data rather than static snapshots.

Secure bank and settlement lookups

Retrieve bank codes and settlement data effortlessly. The `list_banks` and `list_settlements` tools provide the raw data your agents need to categorize and process transfers accurately. It keeps your Mastra AI agent informed with current information, allowing for precise decision-making in your automated operations.

Setup guide

Set up Monnify MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Monnify tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "monnify-mcp-client",
  servers: {
    "monnify-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Monnify Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Monnify tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Monnify transactions"
);
console.log(result.text);

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Common questions about Monnify MCP in Mastra AI

You configure retry logic and exponential backoff directly within your Mastra workflow. If a call like `reserve_account` fails, the agent follows your predefined error-handling path.

Yes, you can enable `requireToolApproval` for sensitive operations. Your agent will pause before executing `init_payment` until you sign off on the transaction details.

It is. You simply add the server URL to your agent configuration, and Mastra AI will auto-detect the available tools for your payment workflows.

The MCP server operates in an ephemeral sandbox. Your transaction history and reserved account details are never persisted on our infrastructure; they are only processed in your local agent memory.

It accesses transaction logs, virtual account states, and settlement reports. Your security configuration ensures these sensitive financial records are strictly scoped to the agent's current task.

Use it with your favorite AI tools

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