How to integrate Flutterwave MCP with Mastra AI

This guide walks you through connecting Flutterwave to Mastra AI using the Composio tool router. By the end, you'll have a working Flutterwave agent that can create a payment link for a new order, generate virtual account numbers for customers, fetch details of a specific subaccount through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Flutterwave account through Composio's Flutterwave MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Flutterwave logoFlutterwave
Api Key

Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations.

53 Tools

Introduction

This guide walks you through connecting Flutterwave to Mastra AI using the Composio tool router. By the end, you'll have a working Flutterwave agent that can create a payment link for a new order, generate virtual account numbers for customers, fetch details of a specific subaccount through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Flutterwave account through Composio's Flutterwave MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Flutterwave with

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Flutterwave tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Flutterwave tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Flutterwave agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Flutterwave MCP server, and what's possible with it?

The Flutterwave MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Flutterwave account. It provides structured and secure access to your payment infrastructure, so your agent can perform actions like creating payment links, managing beneficiaries, setting up virtual accounts, and handling subaccounts on your behalf.

  • Instant payment link creation: Let your agent generate hosted payment URLs for one-time or recurring transactions, making it easy to collect payments from customers.
  • Beneficiary management: Add, fetch, or remove transfer beneficiaries directly through your agent, streamlining the process of managing who receives your payouts.
  • Virtual account generation: Automatically create single or bulk virtual bank accounts for customers, enabling seamless and trackable bank transfers.
  • Subaccount setup and retrieval: Have your agent create, configure, or fetch subaccounts to manage split payments and disbursements for complex business needs.
  • Payment link control: Disable active payment links when necessary to prevent further transactions, ensuring you stay in control of your payment flows.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Flutterwave through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Flutterwave

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["flutterwave"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Flutterwave MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "flutterwave" for Flutterwave access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Flutterwave toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "flutterwave-mastra-agent",
    instructions: "You are an AI agent with Flutterwave tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        flutterwave: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Flutterwave toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Flutterwave and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["flutterwave"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      flutterwave: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "flutterwave-mastra-agent",
    instructions: "You are an AI agent with Flutterwave tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { flutterwave: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Flutterwave through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Flutterwave action and event your agent gets out of the box.

Cancel Payment Plan

Tool to cancel a payment plan.

Create Beneficiary

Tool to create a new transfer beneficiary.

Create Bulk Tokenized Charge

Tool to create a bulk tokenized charge batch for charging multiple previously tokenized cards.

Create Bulk Virtual Account Numbers

Tool to create multiple virtual account numbers.

Create Payment Link

Tool to create a hosted payment link.

Create Payment Plan

Tool to create a new payment plan.

Create Refund

Tool to create a refund for a transaction.

Create Subaccount

Tool to create a new subaccount.

Create Virtual Account

Tool to create a new virtual account number.

Delete Beneficiary

Tool to delete a beneficiary by ID.

Delete Subaccount

Tool to delete a subaccount by ID.

Disable Payment Link

Tool to disable a Flutterwave payment link.

Fetch Beneficiary

Tool to retrieve details of a specific beneficiary by ID.

Fetch Subaccount

Tool to retrieve details of a specific subaccount by ID.

Generate Transaction Reference

Tool to generate a unique transaction reference.

Get All Subscriptions

Tool to retrieve all subscriptions, including cancelled ones.

Retrieve all transactions

Tool to retrieve a list of all transactions with optional filters.

Get All Wallet Balances

Tool to retrieve all wallet balances across currencies.

Get Balances per Currency

Tool to retrieve wallet balance for a specific currency.

Get Bank Branches

Tool to retrieve branch codes for a specific bank.

Get Banks by Country

Tool to retrieve all banks in a specified country.

Get Bill Categories

Tool to retrieve available bill categories.

Get Bulk Tokenized Charge Status

Tool to retrieve the status of a bulk tokenized charge operation by ID.

Get Bulk Virtual Account

Tool to fetch bulk virtual account details using batch ID.

Get Multiple Refund Transactions

Tool to retrieve multiple refund transactions with optional filters.

Get Payment Plan

Tool to retrieve details of a specific payment plan by ID.

Get Payment Plans

Tool to retrieve a list of all payment plans.

Get Refund

Tool to retrieve details of a specific refund by ID.

Get Transaction

Tool to retrieve details of a specific transaction by ID.

Get Transaction Fee

Tool to retrieve the fee for a specific transaction.

Get Transfer Fee

Tool to retrieve the fee for initiating a transfer.

Get Transfer Rates

Tool to retrieve exchange rates for transfers between currencies.

Get Virtual Account Number

Tool to fetch details of a virtual account number by order reference.

Get Wallet Statement

Tool to retrieve wallet balance history with optional filters.

Initiate BVN Verification

Tool to initiate BVN verification consent.

Initiate Mobile Money Tanzania

Tool to initiate a mobile money payment in Tanzania.

List All Beneficiaries

Tool to list all saved beneficiaries.

List Biller Products

Tool to retrieve all products available under a specific biller.

List Billers

Tool to retrieve available billers.

List Chargebacks

Tool to retrieve a list of chargebacks with optional filtering by Flutterwave reference.

List Payout Subaccount Refunds

Tool to list all payout subaccount refunds with pagination support.

List Payout Subaccounts

Tool to list all payout subaccounts.

List Recurring Bills

Tool to retrieve all recurring bill payments.

List all settlements

Tool to retrieve all settlements with optional filters.

List All Subaccounts

Tool to fetch all collection subaccounts.

List Transfers

Tool to fetch a list of bulk transfers from your Flutterwave account.

Resolve Bank Account

Tool to verify and resolve bank account details.

Resolve Card BIN

Tool to resolve and retrieve card BIN information from Flutterwave.

Update Payment Plan

Tool to update an existing payment plan.

Update Subaccount

Tool to update an existing subaccount.

Validate Bill Item

Tool to validate a bill service before payment.

Verify Transaction by Reference

Tool to verify a transaction using its transaction reference.

View Transaction Timeline

Tool to retrieve the event timeline for a transaction.

FAQ

Frequently asked questions

With a standalone Flutterwave MCP server, the agents and LLMs can only access a fixed set of Flutterwave tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Flutterwave and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Flutterwave tools.

Yes, absolutely. You can configure which Flutterwave scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Flutterwave data and credentials are handled as safely as possible.

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