# How to integrate Tapfiliate MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Tapfiliate MCP with Vercel AI SDK v6",
  "toolkit": "Tapfiliate",
  "toolkit_slug": "tapfiliate",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/tapfiliate/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/tapfiliate/framework/ai-sdk.md",
  "updated_at": "2026-05-06T08:30:45.761Z"
}
```

## Introduction

This guide walks you through connecting Tapfiliate to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Tapfiliate agent that can list all active affiliates for this month, retrieve payout methods for affiliate jane doe, create a payment for affiliate id 12345 through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Tapfiliate account through Composio's Tapfiliate MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Tapfiliate with

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

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Tapfiliate integration
- Using Composio's Tool Router to dynamically load and access Tapfiliate 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 Tapfiliate MCP server, and what's possible with it?

The Tapfiliate MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tapfiliate account. It provides structured and secure access to your affiliate and referral program data, so your agent can perform actions like managing affiliates, tracking commissions, handling payments, and organizing programs on your behalf.
- Affiliate management and insights: Instantly list all affiliates, retrieve detailed affiliate profiles, or remove affiliates as your programs evolve.
- Commission tracking and reporting: Let your agent fetch comprehensive commission records, apply filters, and access historical payouts for monitoring performance.
- Automated payment handling: Effortlessly list, retrieve, or create payments to credit affiliates, ensuring accurate and timely compensation.
- Payout method discovery: Retrieve available payout options for affiliates to streamline compensation workflows and support diverse payment needs.
- Program organization and overview: Quickly list all affiliate programs and assets, helping you stay on top of your marketing initiatives and campaign structure.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TAPFILIATE_AFFILIATES_LIST_ALL_AFFILIATES` | List all affiliates | Tool to list all affiliates. use after verifying api credentials to fetch affiliates with optional filters. |
| `TAPFILIATE_AFFILIATES_RETRIEVE_AN_AFFILIATE` | Retrieve an Affiliate | Tool to retrieve details of a specific affiliate. use when you have the affiliate id and need full affiliate profile. |
| `TAPFILIATE_COMMISSIONS_LIST_ALL_COMMISSIONS` | List all commissions | Tool to retrieve all commissions. use when you need to fetch commission records with optional filters and pagination after confirming valid api credentials. |
| `TAPFILIATE_DELETE_AN_AFFILIATE` | Delete an affiliate | Tool to delete a specific affiliate. use when you need to remove an affiliate by their affiliate id after confirming it exists. |
| `TAPFILIATE_AFFILIATES_LIST_ALL_AFFILIATES` | List all affiliates | Tool to list all affiliates. use after confirming api access to fetch affiliates with optional filters. |
| `TAPFILIATE_PAYMENTS_CREATE_A_PAYMENT` | Create a Payment | Tool to create a payment. use when you need to credit an affiliate after confirming transaction details. |
| `TAPFILIATE_PAYMENTS_LIST_ALL_PAYMENTS` | List all payments | Tool to list all payments. use when you need to retrieve paginated payment records after confirming api credentials. |
| `TAPFILIATE_PAYMENTS_RETRIEVE_A_PAYMENT` | Retrieve a Payment | Tool to retrieve details of a specific payment. use when you have the payment id and need full payment information. |
| `TAPFILIATE_PAYOUT_METHODS_LIST_ALL_PAYOUT_METHODS` | List all payout methods | Tool to retrieve a list of all payout methods for an affiliate. use when fetching available payment options for an affiliate. |
| `TAPFILIATE_PROGRAMS_LIST_ALL_PROGRAMS` | List all programs | Tool to list all programs. use after confirming api credentials to fetch program list with optional asset filters. |

## Supported Triggers

None listed.

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

The Tapfiliate MCP server is an implementation of the Model Context Protocol that connects your AI agent to Tapfiliate. It provides structured and secure access so your agent can perform Tapfiliate 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 Tapfiliate 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 Tapfiliate-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: ["tapfiliate"],
  });

  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 Tapfiliate 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 tapfiliate, 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 Tapfiliate 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: ["tapfiliate"],
  });

  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 tapfiliate, 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 Tapfiliate 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 Tapfiliate MCP Agent with another framework

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

## Related Toolkits

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- [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation.
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- [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.
- [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend.
- [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort.
- [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors.
- [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting.
- [Semrush](https://composio.dev/toolkits/semrush) - Semrush is a leading SEO tool suite for keyword research, competitor analysis, and campaign tracking. It empowers marketers to improve search rankings and optimize online visibility.
- [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place.
- [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish.
- [Stannp](https://composio.dev/toolkits/stannp) - Stannp is an API-driven direct mail platform for sending postcards and letters programmatically. It lets you automate physical mail delivery—no manual printing or mailing required.
- [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.

## Frequently Asked Questions

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

With a standalone Tapfiliate MCP server, the agents and LLMs can only access a fixed set of Tapfiliate tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Tapfiliate 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 Tapfiliate tools.

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

Yes, absolutely. You can configure which Tapfiliate 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 Tapfiliate data and credentials are handled as safely as possible.

---
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