How to integrate Reloadly MCP with LangChain

This guide walks you through connecting Reloadly to LangChain using the Composio tool router. By the end, you'll have a working Reloadly agent that can browse gift cards, check your sandbox balance, review transactions, and order test gift cards through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Reloadly account through Composio's Reloadly MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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10 Tools

Introduction

This guide walks you through connecting Reloadly to LangChain using the Composio tool router. By the end, you'll have a working Reloadly agent that can browse gift cards, check your sandbox balance, review transactions, and order test gift cards through natural language commands.

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

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

Also integrate Reloadly 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 Reloadly project to Composio
  • Create a Tool Router MCP session for Reloadly
  • Initialize an MCP client and retrieve Reloadly tools
  • Build a LangChain agent that can interact with Reloadly
  • 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 Reloadly MCP server, and what's possible with it?

The Reloadly MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Reloadly account. It provides structured and secure access to your Gift Cards Sandbox catalog, wallet, discounts, transactions, and redemption details, so your agent can browse products, check balances and exchange rates, place test orders, inspect transactions, and retrieve redemption information on your behalf.

  • Gift card catalog browsing: Have your agent search sandbox gift cards by name, country, category, denomination type, or global availability, then review available amounts, currencies, fees, status, and order requirements.
  • Balance, discount, and currency checks: Let the agent check your test wallet balance, find current gift card discounts, and calculate currency conversions before an order.
  • Sandbox gift card ordering: Direct your agent to place non-reversible test gift card orders using current product denominations without spending production wallet funds.
  • Transaction review: Instruct your agent to inspect sandbox gift card transactions and find records that match your chosen filters.
  • Redemption details: Have your agent retrieve issued card numbers, PINs, redemption links, and product-specific redemption instructions for successful sandbox orders.

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 Reloadly 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 Reloadly 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: ['reloadly']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Reloadly 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 Reloadly tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "reloadly-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 Reloadly MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Reloadly 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 Reloadly 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 Reloadly 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: ['reloadly']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "reloadly-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 Reloadly 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 Reloadly 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 Reloadly action and event your agent gets out of the box.

Calculate Gift Card FX Rate

Convert a recipient gift card amount into the connected Reloadly Gift Cards Sandbox wallet currency before ordering.

Get Sandbox Account Balance

Return the connected Reloadly Gift Cards Sandbox test-wallet balance and currency.

Get Gift Card Discounts

Return one page of Reloadly Gift Cards Sandbox discounts, or the current discount for a specific product when product_id is supplied.

Get Gift Card Product

Get one Reloadly Gift Cards Sandbox product and its current denomination, currency, fee, status, and additional-order requirements.

Get Gift Card Redeem Codes

Return sensitive card numbers, PINs, and redemption URLs issued for one successful Reloadly Gift Cards Sandbox transaction.

Get Redeem Instructions

Return concise and verbose redemption instructions for one Reloadly Gift Cards Sandbox product.

Get Gift Card Transactions

Return one filtered page of Reloadly Gift Cards Sandbox transactions, or one transaction by ID when transaction_id is supplied.

List Catalog Reference Data

List either Reloadly Gift Cards Sandbox product categories or supported countries from the complete, unpaginated catalog.

List Gift Card Products

Search the Reloadly Gift Cards Sandbox catalog by name, country, category, denomination type, or global availability, returning one caller-selected page.

Order Sandbox Gift Cards

Create a non-reversible Reloadly Gift Cards Sandbox order using a current product denomination.

FRAMEWORKS

How to build Reloadly MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Reloadly MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Reloadly MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Reloadly MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Reloadly MCP with Claude Cowork

Codex logo

Codex

Use Reloadly MCP with Codex

OpenClaw logo

OpenClaw

Use Reloadly MCP with OpenClaw

Hermes logo

Hermes

Use Reloadly MCP with Hermes

CLI logo

CLI

Use Reloadly MCP with CLI

Google ADK logo

Google ADK

Use Reloadly MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Reloadly MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Reloadly MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Reloadly MCP with LlamaIndex

CrewAI logo

CrewAI

Use Reloadly MCP with CrewAI

FAQ

Frequently asked questions

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

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

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