How to integrate Breathe HR MCP with LangChain

Connect LangChain to Breathe HR MCP. List all employees out on leave this week, add new employee record for onboarding, and more using natural language, with authentication handled for you.

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Api Key

Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.

50 Tools

Introduction

This guide walks you through connecting Breathe HR to LangChain using the Composio tool router. By the end, you'll have a working Breathe HR agent that can list all employees out on leave this week, add new employee record for onboarding, generate a summary of recent performance reviews through natural language commands.

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

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

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TL;DR

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

The Breathe HR MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Breathe HR account. It provides structured and secure access to employee records, departments, absences, leave requests, expenses, and salaries, so your agent can create employees, review HR information, track absences, manage leave approvals, and record expenses on your behalf.

  • Employee record management: Have your agent create new employee records, list your workforce, or retrieve detailed information about a specific employee.
  • Absence and leave tracking: Instruct your agent to review absences and leave requests by date, employee, department, or absence type.
  • Leave request approvals: Direct your agent to approve pending employee leave requests in Breathe HR.
  • Expense administration: Let the agent create employee expense records and review expenses already submitted.
  • Department and salary visibility: Have your agent list company departments and review employee salary information.

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 Breathe HR 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 Breathe HR 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: ['breathehr']
    }
);

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

Configure the agent with the MCP URL

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

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

Approve Leave Request

Tool to approve a leave request in BreatheHR.

Create Employee

Tool to create a new employee in BreatheHR.

Create Employee Change Request

Tool to create a change request for an employee field.

Create Employee Expense

Tool to create an employee expense record in BreatheHR.

Create Employee Expense Claim

Tool to create a new expense claim for an employee.

Create Employee Sickness

Tool to create a sickness record for an employee in BreatheHR.

Delete Employee Expense

Tool to delete an employee expense by ID.

Delete Employee Training Course

Tool to delete an employee training course record by its ID.

Get Account

Tool to retrieve account information including ID, name, domain, UUID, and RTA usage status.

Get Employee

Tool to retrieve detailed information about a specific employee by ID.

Get Employee Expense

Tool to retrieve a specific employee expense record by ID.

Get Leave Request

Tool to retrieve detailed information about a specific leave request by ID.

Get Leave Request Cancelling

Tool to retrieve the leave request that is being cancelled.

List Absences

Tool to list all absences with optional filtering by date range, employee, department, and type.

List Employee Benefits

Tool to retrieve a list of employee benefits with optional pagination.

List Employee Bonuses

Tool to retrieve employee bonuses from BreatheHR with pagination support.

List Change Requests

Tool to list change requests from BreatheHR.

List Company Documents

Tool to retrieve a paginated list of company documents from BreatheHR.

List Company Projects

Tool to list company projects from BreatheHR.

List Company Training Types

Tool to list company training types.

List Department Absences

Tool to list absences for a specific department.

List Department Benefits

Tool to list all employee benefits for a specific department.

List Department Bonuses

Tool to list bonuses for a specific department.

List Department Leave Requests

Tool to list leave requests for a specific department.

List Departments

Tool to list all company departments from BreatheHR.

List Department Salaries

Tool to list salaries for a specific department.

List Divisions

Tool to retrieve all company divisions.

List Employee Absences

Tool to list absences for a specific employee from BreatheHR.

List Employee Benefits

Tool to list benefits for an employee.

List Employee Bonuses

Tool to list bonuses for a specific employee.

List Employee Change Requests

Tool to list change requests for a specific employee.

List Employee Expense Claims

Tool to list employee expense claims from BreatheHR.

List Employee Expenses

Tool to list employee expenses from BreatheHR.

List Employee Holiday Years

Tool to get holiday years for an employee.

List Employee Jobs

Tool to list employee jobs with optional employee filtering.

List Employee Leave Requests

Tool to list leave requests for a specific employee.

List Employees

Tool to list all employees in the BreatheHR account with pagination support.

List Employee Salaries

Tool to list salaries for a specific employee.

List Employee Training Courses

Tool to list employee training courses with optional filtering by employee and pagination support.

List Holiday Allowances

Tool to list holiday allowances configured for the company.

List Leave Requests

Tool to list all leave requests with optional date and employee/department filtering.

List Locations

Tool to list all company locations from BreatheHR.

List Other Leave Reasons

Tool to list other leave reasons configured for the company in BreatheHR.

List Salaries

Tool to list employee salaries with pagination support.

List Sicknesses

Tool to list all sickness records from BreatheHR with optional date filtering.

List Working Patterns

Tool to list all working patterns defined in the BreatheHR account with pagination support.

Reject Leave Request

Tool to reject a leave request in BreatheHR.

Update Employee Expense Claim

Tool to approve or reject an employee expense claim.

Update employee training course

Tool to update an existing employee training course record in BreatheHR.

Update Sickness

Tool to update an existing sickness record in BreatheHR.

FAQ

Frequently asked questions

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

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

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