How to integrate Booqable MCP with LangChain

This guide walks you through connecting Booqable to LangChain using the Composio tool router. By the end, you'll have a working Booqable agent that can add a new customer named alice brown, list all active orders for this week, create a rental order for customer id 123 through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Booqable account through Composio's Booqable MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease.

49 Tools

Introduction

This guide walks you through connecting Booqable to LangChain using the Composio tool router. By the end, you'll have a working Booqable agent that can add a new customer named alice brown, list all active orders for this week, create a rental order for customer id 123 through natural language commands.

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

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

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

The Booqable MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Booqable account. It provides structured and secure access to your rental management system, so your agent can perform actions like creating customers, managing orders, retrieving inventory data, and organizing product groups on your behalf.

  • Customer management and onboarding: Effortlessly create new customers, fetch details for existing clients, or delete customer records when needed—all through your AI agent.
  • Order creation and tracking: Let your agent generate new rental orders, retrieve specific order details, or list and filter all existing orders based on your business needs.
  • Inventory and product group organization: Have your agent create new product groups to organize inventory, fetch product group information, or remove groups that are no longer needed.
  • Automated cleanup and archiving: Direct your agent to archive customers or orders, helping you keep your database clean and up-to-date without manual intervention.

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 Booqable 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 Booqable 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: ['booqable']
    }
);

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

Configure the agent with the MCP URL

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

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

Create Customer

Tool to create a new customer.

Create Order

Tool to create a new order.

Create Product Group

Tool to create a new product group in Booqable.

Delete Customer

Tool to delete (archive) a customer by ID.

Delete Order

Tool to delete (archive) an order by ID.

Delete Product Group

Tool to delete a product group by ID.

Get Customer

Tool to fetch a specific customer by ID.

Get Customers

Tool to retrieve a list of customers.

Get Inventory Levels

Tool to fetch inventory levels for products.

Get New Order

Tool to retrieve a new order template with default values.

Get Order

Tool to retrieve a specific order by ID.

Get Product

Tool to fetch a specific product by ID.

Get Product Group

Tool to fetch a specific product group by ID.

List Barcodes

Tool to retrieve a list of barcodes.

List Bundle Items

Tool to retrieve a list of bundle items.

List Clusters

Tool to retrieve a list of clusters from Booqable.

List Coupons

Tool to retrieve a list of coupons.

List Default Properties

Tool to retrieve a list of default properties from Booqable.

List Documents

Tool to retrieve a list of documents.

List Email Templates

Tool to list email templates from Booqable.

List Employees

Tool to retrieve a list of employees from Booqable.

List Inventory Breakdowns

Tool to retrieve a list of inventory breakdowns filtered by status and product/product group.

List Items

Tool to retrieve a list of items (products and product groups).

List Lines

Tool to retrieve a paginated list of lines from orders.

List Locations

Tool to retrieve a list of locations from Booqable.

List Notes

Tool to retrieve a list of notes.

List Orders

Tool to retrieve a paginated list of orders.

List Payment Methods

Tool to retrieve a list of payment methods from Booqable.

List Payments

Tool to list all payments from Booqable.

List Photos

Tool to retrieve a paginated list of photos from Booqable.

List Plannings

Tool to retrieve planning records that track product and bundle reservations across locations and time periods.

List Price Rulesets

Tool to list price rulesets.

List Price Structures

Tool to list price structures.

List Product Groups

Tool to list product groups from Booqable API v4.

List Products

Tool to retrieve a list of products.

List Properties

Tool to retrieve a list of properties.

List Provinces

Tool to retrieve a list of provinces.

List Stock Item Plannings

Tool to retrieve a list of stock item plannings.

List Stock Items

Tool to retrieve a list of stock items.

List Tax Rates

Tool to retrieve a list of tax rates.

List Tax Values

Tool to retrieve a list of tax values.

List Users

Tool to retrieve a list of users from Booqable.

Search Bundles

Tool to search bundles with advanced filtering.

Search Customers

Tool to search customers in the Booqable system.

Search Documents

Tool to search documents using advanced filtering with logical operators.

Search Items

Tool to search items (products and bundles) with advanced filtering.

Search Orders

Tool to search orders with advanced filtering using logical operators.

Search Plannings

Tool to search plannings with advanced filtering.

Update Company

Tool to update the current company's information in Booqable.

FRAMEWORKS

How to build Booqable MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Booqable MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Booqable MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Booqable MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Booqable MCP with Claude Cowork

Codex logo

Codex

Use Booqable MCP with Codex

OpenClaw logo

OpenClaw

Use Booqable MCP with OpenClaw

Hermes logo

Hermes

Use Booqable MCP with Hermes

CLI logo

CLI

Use Booqable MCP with CLI

Google ADK logo

Google ADK

Use Booqable MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Booqable MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Booqable MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Booqable MCP with LlamaIndex

CrewAI logo

CrewAI

Use Booqable MCP with CrewAI

FAQ

Frequently asked questions

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

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

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

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.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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Jerome Leclanche
Co-Founder, Ingram Technologies