How to integrate Gift up MCP with LangChain

This guide walks you through connecting Gift up to LangChain using the Composio tool router. By the end, you'll have a working Gift up agent that can list all active gift cards sold this week, show available items for sale by group, get recent transaction reports for your store through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Gift up account through Composio's Gift up MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Gift up logoGift up
Api Key

Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.

44 Tools

Introduction

This guide walks you through connecting Gift up to LangChain using the Composio tool router. By the end, you'll have a working Gift up agent that can list all active gift cards sold this week, show available items for sale by group, get recent transaction reports for your store through natural language commands.

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

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

Also integrate Gift up with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Gift up project to Composio
  • Create a Tool Router MCP session for Gift up
  • Initialize an MCP client and retrieve Gift up tools
  • Build a LangChain agent that can interact with Gift up
  • 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 Gift up MCP server, and what's possible with it?

The Gift up MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gift Up! account. It provides structured and secure access to your gift card operations, so your agent can list available gift cards, fetch company or checkout details, generate transaction reports, and manage users or webhook subscriptions on your behalf.

  • Gift card inventory management: Instantly list, filter, and audit all gift cards issued or available in your account, including status and details.
  • Sales item and group retrieval: Let your agent fetch all items for sale and organize them by item groups, making it easy to manage or present products.
  • Company and checkout settings access: Retrieve current company details and checkout configuration to audit or display your store's gift card setup.
  • Transaction reporting and analytics: Generate and filter transaction reports for deep insights into gift card sales, redemptions, and trends.
  • User and webhook management: List all users with account access or subscribe to webhook events, enabling automated notifications and streamlined team management.

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 Gift up 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 Gift up 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: ['gift_up']
    }
);

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

Configure the agent with the MCP URL

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

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

Add Note to Order

Tool to add a note to an existing order.

Create Item

Tool to create a new item for sale in the Gift Up checkout.

Create Item Group

Tool to create a new item group for organizing items in the Gift Up checkout.

Create Order

Tool to create a new order which generates one or more gift cards.

Delete Item

Tool to delete an item from the Gift Up checkout.

Delete Item Group

Tool to delete an item group by its ID.

Delete Webhook

Tool to delete a webhook subscription by its ID.

Get Checkout Settings

Tool to retrieve the current checkout settings.

Get Company Details

Tool to retrieve company details.

Get Email Settings

Tool to retrieve email settings for the Gift Up account.

Get Gift Card by Code

Tool to retrieve a gift card by its code.

Get Gift Card Settings

Tool to retrieve gift card settings including code format, expiration rules, and display options.

Get Item by ID

Tool to retrieve detailed information about a specific item by its ID.

Get Order by ID

Tool to retrieve a specific order by ID.

API Health Check

Tool to perform a health check on the Gift Up!

Get Report Transaction

Tool to retrieve a specific transaction report by its ID.

Get Shipping Settings

Tool to retrieve shipping settings for physical gift cards.

Get Stripe Connection

Tool to retrieve current Stripe integration connection settings.

Get Webhook

Tool to retrieve a specific webhook by its ID.

List Gift Card Artwork

Tool to list all gift card artwork available for use on gift cards.

List Gift Cards

Tool to list gift cards.

List Item Groups

Tool to list item groups.

List Items

Lists all items (gift cards, passes, etc.

List Locations

Retrieves all physical locations where gift cards are sold and/or redeemed.

List Promotions

Tool to list all promotions that allow discounts to be applied on the Gift Up checkout.

List Report Transactions

Tool to list report transactions with optional filters.

List GiftUp Users

Tool to list all users.

List Webhooks

Tool to list all webhooks configured for the account.

Health Check (POST)

Tool to perform a health check using POST /ping endpoint.

Reactivate Gift Card

Tool to reactivate a voided gift card.

Redeem Gift Card

Tool to redeem a specified amount or units from a gift card.

Redeem Gift Card In Full

Tool to redeem a gift card in full.

Subscribe to Webhook

Subscribe to Gift Up!

Top Up Gift Card

Tool to add value to an existing gift card.

Undo Gift Card Redemption

Tool to undo a previous redemption on a gift card, restoring the redeemed amount to the gift card balance.

Update Email Settings

Tool to update email settings using JSON Patch operations.

Update Gift Card

Tool to update gift card properties using JSON Patch operations.

Update Gift Card Settings

Tool to update gift card settings using JSON Patch operations.

Update Item

Update an item's properties using JSON Patch operations.

Update Item Group

Tool to update an item group's properties using JSON Patch operations.

Update Order

Tool to update an order's properties using JSON Patch operations.

Update Stripe Connection

Tool to update Stripe integration connection settings for the Gift Up account.

Upload Gift Card Artwork

Tool to upload new gift card artwork.

Void Gift Card

Tool to void a gift card making it invalid for future redemptions.

FAQ

Frequently asked questions

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

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

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