How to integrate Flutterwave MCP with Autogen

This guide walks you through connecting Flutterwave to AutoGen 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 AutoGen 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 AutoGen 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 AutoGen 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:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Flutterwave
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Flutterwave tools
  • Run a live chat loop where you ask the agent to perform Flutterwave operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Flutterwave account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Flutterwave via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Flutterwave connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Flutterwave session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["flutterwave"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Flutterwave tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Flutterwave assistant agent with MCP tools
    agent = AssistantAgent(
        name="flutterwave_assistant",
        description="An AI assistant that helps with Flutterwave operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Flutterwave tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Flutterwave related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Flutterwave tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Flutterwave session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["flutterwave"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Flutterwave assistant agent with MCP tools
        agent = AssistantAgent(
            name="flutterwave_assistant",
            description="An AI assistant that helps with Flutterwave operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Flutterwave related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Flutterwave through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Flutterwave, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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. Autogen 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.

Start with Flutterwave.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Flutterwave tool your agent needs.Free to start.

Start building