# How to integrate Flutterwave MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Flutterwave MCP with Vercel AI SDK v6",
  "toolkit": "Flutterwave",
  "toolkit_slug": "flutterwave",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/flutterwave/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/flutterwave/framework/ai-sdk.md",
  "updated_at": "2026-05-06T08:12:08.010Z"
}
```

## Introduction

This guide walks you through connecting Flutterwave to Vercel AI SDK v6 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 Vercel AI SDK 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/flutterwave/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/flutterwave/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/flutterwave/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/flutterwave/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/flutterwave/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/flutterwave/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/flutterwave/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/flutterwave/framework/cli)
- [Google ADK](https://composio.dev/toolkits/flutterwave/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/flutterwave/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/flutterwave/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/flutterwave/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/flutterwave/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Flutterwave integration
- Using Composio's Tool Router to dynamically load and access Flutterwave tools
- Creating an MCP client connection using HTTP transport
- Building an interactive CLI chat interface with conversation history management
- Handling tool calls and results within the Vercel AI SDK framework

## What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.
Key features include:
- streamText: Core function for streaming responses with real-time tool support
- MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
- Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
- OpenAI Provider: Native integration with OpenAI models

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FLUTTERWAVE_CREATE_BENEFICIARY` | Create Beneficiary | Tool to create a new transfer beneficiary. use when you need to add a beneficiary before making a transfer. |
| `FLUTTERWAVE_CREATE_BULK_VIRTUAL_ACCOUNT_NUMBERS` | Create Bulk Virtual Account Numbers | Tool to create multiple virtual account numbers. use when you need to generate multiple static virtual accounts for customers in a single request. |
| `FLUTTERWAVE_CREATE_PAYMENT_LINK` | Create Payment Link | Tool to create a hosted payment link. use when you need a shareable payment url for one-time transactions. |
| `FLUTTERWAVE_CREATE_PAYMENT_PLAN` | Create Payment Plan | Tool to create a new payment plan. use after confirming plan and customer details. |
| `FLUTTERWAVE_CREATE_SUBACCOUNT` | Create Subaccount | Tool to create a new subaccount. use when you need to configure split disbursement accounts. |
| `FLUTTERWAVE_CREATE_VIRTUAL_ACCOUNT` | Create Virtual Account | Tool to create a new virtual account number. use after confirming customer details when assigning a unique account for bank transfers. |
| `FLUTTERWAVE_DELETE_BENEFICIARY` | Delete Beneficiary | Tool to delete a beneficiary by id. use when you need to remove a saved transfer beneficiary by its unique id after confirming the id. |
| `FLUTTERWAVE_DISABLE_PAYMENT_LINK` | Disable Payment Link | Tool to disable a flutterwave payment link. use when you need to prevent further payments from an existing link after confirming the link is valid. |
| `FLUTTERWAVE_FETCH_BENEFICIARY` | Fetch Beneficiary | Tool to retrieve details of a specific beneficiary by id. use after obtaining a beneficiary id to fetch its full details from flutterwave. |
| `FLUTTERWAVE_FETCH_SUBACCOUNT` | Fetch Subaccount | Tool to retrieve details of a specific subaccount by id. use when you need full subaccount info after creating or updating splits. |
| `FLUTTERWAVE_GENERATE_TRANSACTION_REFERENCE` | Generate Transaction Reference | Tool to generate a unique transaction reference. use when initiating a new flutterwave transaction requires a unique reference to prevent duplication. |
| `FLUTTERWAVE_GET_ALL_SUBSCRIPTIONS` | Get All Subscriptions | Tool to retrieve all subscriptions, including cancelled ones. use when you need a comprehensive list of subscription records for auditing or reporting. |
| `FLUTTERWAVE_GET_ALL_TRANSACTIONS` | Retrieve all transactions | Tool to retrieve a list of all transactions with optional filters. use when you need to paginate or filter transaction history after confirming valid api credentials. |
| `FLUTTERWAVE_GET_ALL_WALLET_BALANCES` | Get All Wallet Balances | Tool to retrieve all wallet balances across currencies. use when reconciling balances after authentication. |
| `FLUTTERWAVE_GET_BALANCES_PER_CURRENCY` | Get Balances per Currency | Tool to retrieve wallet balance for a specific currency. use after transactions to confirm available and ledger balances in a given currency. |
| `FLUTTERWAVE_GET_BILL_CATEGORIES` | Get Bill Categories | Tool to retrieve available bill categories. use after authenticating to flutterwave to display bill payment options to users. |
| `FLUTTERWAVE_GET_MULTIPLE_REFUND_TRANSACTIONS` | Get Multiple Refund Transactions | Tool to retrieve multiple refund transactions with optional filters. use when you need to fetch paginated refund data after confirming valid api credentials. |
| `FLUTTERWAVE_GET_PAYMENT_PLANS` | Get Payment Plans | Tool to retrieve a list of all payment plans. use when you need to fetch and present your account’s configured billing plans. |
| `FLUTTERWAVE_GET_TRANSACTION` | Get Transaction | Tool to retrieve details of a specific transaction by id. use after obtaining the transaction id to fetch its details from flutterwave. |
| `FLUTTERWAVE_GET_TRANSACTION_FEE` | Get Transaction Fee | Tool to retrieve the fee for a specific transaction. use when you need to calculate the total charge including fees before initiating the transaction. |
| `FLUTTERWAVE_GET_TRANSFER_FEE` | Get Transfer Fee | Tool to retrieve the fee for initiating a transfer. use when you need to estimate transfer costs before creating a transfer. example: "calculate the fee for transferring ngn 5000 to an account." |
| `FLUTTERWAVE_INITIATE_MOBILE_MONEY_TANZANIA` | Initiate Mobile Money Tanzania | Tool to initiate a mobile money payment in tanzania. use after collecting customer details to charge via tanzanian mobile money networks. |
| `FLUTTERWAVE_LIST_ALL_BENEFICIARIES` | List All Beneficiaries | Tool to list all saved beneficiaries. use when you need to retrieve all transfer beneficiaries associated with your account. |
| `FLUTTERWAVE_VIEW_TRANSACTION_TIMELINE` | View Transaction Timeline | Tool to retrieve the event timeline for a transaction. use after obtaining the transaction id to audit or track the sequence of events. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Flutterwave MCP server is an implementation of the Model Context Protocol that connects your AI agent to Flutterwave. It provides structured and secure access so your agent can perform Flutterwave operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before you begin, make sure you have:
- Node.js and npm installed
- A Composio account with API key
- An OpenAI API key

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install required dependencies

First, install the necessary packages for your project.
What you're installing:
- @ai-sdk/openai: Vercel AI SDK's OpenAI provider
- @ai-sdk/mcp: MCP client for Vercel AI SDK
- @composio/core: Composio SDK for tool integration
- ai: Core Vercel AI SDK
- dotenv: Environment variable management
```bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's needed:
- OPENAI_API_KEY: Your OpenAI API key for GPT model access
- COMPOSIO_API_KEY: Your Composio API key for tool access
- COMPOSIO_USER_ID: A unique identifier for the user session
```bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
```

### 4. Import required modules and validate environment

What's happening:
- We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
- The dotenv/config import automatically loads environment variables
- The MCP client import enables connection to Composio's tool server
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});
```

### 5. Create Tool Router session and initialize MCP client

What's happening:
- We're creating a Tool Router session that gives your agent access to Flutterwave tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
- This session provides access to all Flutterwave-related tools through the MCP protocol
```typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["flutterwave"],
  });

  const mcpUrl = session.mcp.url;
```

### 6. Connect to MCP server and retrieve tools

What's happening:
- We're creating an MCP client that connects to our Composio Tool Router session via HTTP
- The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
- The type: "http" is important - Composio requires HTTP transport
- tools() retrieves all available Flutterwave tools that the agent can use
```typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
```

### 7. Initialize conversation and CLI interface

What's happening:
- We initialize an empty messages array to maintain conversation history
- A readline interface is created to accept user input from the command line
- Instructions are displayed to guide the user on how to interact with the agent
```typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to flutterwave, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();
```

### 8. Handle user input and stream responses with real-time tool feedback

What's happening:
- We use streamText instead of generateText to stream responses in real-time
- toolChoice: "auto" allows the model to decide when to use Flutterwave tools
- stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
- onStepFinish callback displays which tools are being used in real-time
- We iterate through the text stream to create a typewriter effect as the agent responds
- The complete response is added to conversation history to maintain context
- Errors are caught and displayed with helpful retry suggestions
```typescript
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({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["flutterwave"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to flutterwave, like summarize my last 5 emails, send an email, etc... :)))\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({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Conclusion

You've successfully built a Flutterwave agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.
Key features of this implementation:
- Real-time streaming responses for a better user experience with typewriter effect
- Live tool execution feedback showing which tools are being used as the agent works
- Dynamic tool loading through Composio's Tool Router with secure authentication
- Multi-step tool execution with configurable step limits (up to 10 steps)
- Comprehensive error handling for robust agent execution
- Conversation history maintenance for context-aware responses
You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Flutterwave MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/flutterwave/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/flutterwave/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/flutterwave/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/flutterwave/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/flutterwave/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/flutterwave/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/flutterwave/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/flutterwave/framework/cli)
- [Google ADK](https://composio.dev/toolkits/flutterwave/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/flutterwave/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/flutterwave/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/flutterwave/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/flutterwave/framework/crew-ai)

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Flutterwave MCP?

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.

### Can I use Tool Router MCP with Vercel AI SDK v6?

Yes, you can. Vercel AI SDK v6 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.

### Can I manage the permissions and scopes for Flutterwave while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
