How to integrate Tapfiliate MCP with LangChain

This guide walks you through connecting Tapfiliate to LangChain 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 LangChain 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.

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Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs.

40 Tools

Introduction

This guide walks you through connecting Tapfiliate to LangChain 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 LangChain 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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Tapfiliate project to Composio
  • Create a Tool Router MCP session for Tapfiliate
  • Initialize an MCP client and retrieve Tapfiliate tools
  • Build a LangChain agent that can interact with Tapfiliate
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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.

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Tapfiliate functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Tapfiliate tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['tapfiliate']
    }
);

const url = session.mcp.url;
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 session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Tapfiliate tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "tapfiliate-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Tapfiliate MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Tapfiliate tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Tapfiliate and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['tapfiliate']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "tapfiliate-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Tapfiliate related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

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

Conclusion

You've successfully built a LangChain agent that can interact with Tapfiliate through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Retrieve an Affiliate

Tool to retrieve details of a specific affiliate.

Cancel a Payment

Tool to cancel a specific payment.

List all commissions

Tool to retrieve all commissions.

Create an Affiliate

Tool to create a new affiliate account.

Create Affiliate Group

Tool to create a new affiliate group.

Create Affiliate Note

Tool to create a note for an affiliate.

Create Affiliate Prospect

Tool to create an affiliate prospect.

Delete affiliate meta data

Tool to delete metadata by key for an affiliate.

Delete an affiliate prospect

Tool to delete a specific affiliate prospect.

Delete an affiliate

Tool to delete a specific affiliate.

Get Affiliate Balances

Tool to retrieve an affiliate's balances across multiple currencies.

Get Affiliate Meta Data by Key

Tool to retrieve specific metadata value by key for an affiliate.

Get Affiliate Prospect

Tool to retrieve details of a specific affiliate prospect.

Retrieve a Program

Tool to retrieve details of a specific program.

List affiliate custom fields

Tool to get custom fields configured for affiliates.

List all affiliate groups

Tool to list all affiliate groups.

List Affiliate Meta Data

Tool to retrieve metadata for a specific affiliate.

List affiliate notes

Tool to list notes for a specific affiliate.

List affiliate's payments

Tool to list all payments for a specific affiliate.

List Affiliate Programs

Tool to list all programs (affiliations) associated with a specific affiliate.

List Affiliate Prospects

Tool to list all affiliate prospects.

List all affiliates

Tool to list all affiliates.

List all balances

Tool to list all outstanding affiliate balances.

List conversions

Tool to list all conversions.

List all customers

Tool to list all customers with optional filtering by program, customer ID, affiliate, or date range.

List program affiliates

Tool to list all affiliates in a specific program.

List program bonuses

Tool to list all bonuses for a specific program.

List program commission types

Tool to list commission types for a specific program.

List program MLM levels

Tool to list MLM levels for a program.

Create a Payment

Tool to create a payment.

List all payments

Tool to list all payments.

Retrieve a Payment

Tool to retrieve details of a specific payment.

List all payout methods

Tool to retrieve a list of all payout methods for an affiliate.

List all programs

Tool to list all programs.

Remove affiliate group from affiliate

Tool to remove affiliate group from an affiliate.

Set Affiliate Group

Tool to set the affiliate group for a specific affiliate.

Set Affiliate Meta Data

Tool to update (replace) metadata for an affiliate.

Set Affiliate Metadata by Key

Tool to set or update a specific metadata field for an affiliate by key.

Set Affiliate Parent

Tool to set a parent affiliate relationship for a child affiliate.

Update Affiliate Group

Tool to update an affiliate group's details.

FRAMEWORKS

How to build Tapfiliate MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Tapfiliate MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Tapfiliate MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Tapfiliate MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Tapfiliate MCP with Claude Cowork

Codex logo

Codex

Use Tapfiliate MCP with Codex

OpenClaw logo

OpenClaw

Use Tapfiliate MCP with OpenClaw

Hermes logo

Hermes

Use Tapfiliate MCP with Hermes

CLI logo

CLI

Use Tapfiliate MCP with CLI

Google ADK logo

Google ADK

Use Tapfiliate MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Tapfiliate MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Tapfiliate MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Tapfiliate MCP with LlamaIndex

CrewAI logo

CrewAI

Use Tapfiliate MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. LangChain 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.

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.

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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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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