How to integrate Helpwise MCP with LangChain

This guide walks you through connecting Helpwise to LangChain using the Composio tool router. By the end, you'll have a working Helpwise agent that can add note to open conversation with client, delete outdated contact from contact list, create new team for support agents through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Helpwise account through Composio's Helpwise MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Helpwise is a unified customer service platform for managing all your business emails, chats, and SMS in one place. It helps teams collaborate on customer conversations more efficiently and never miss important messages.

37 Tools

Introduction

This guide walks you through connecting Helpwise to LangChain using the Composio tool router. By the end, you'll have a working Helpwise agent that can add note to open conversation with client, delete outdated contact from contact list, create new team for support agents through natural language commands.

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

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

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

The Helpwise MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Helpwise account. It provides structured and secure access to your customer communication tools, so your agent can create conversations, manage notes, upload attachments, delete messages, and organize your Helpwise workspace on your behalf.

  • Attachment management and uploads: Easily upload files as attachments to conversations and retrieve attachment metadata for streamlined file sharing.
  • Conversation note automation: Let your agent add or remove notes to specific conversations, making it easy to document context or follow up actions.
  • Mailbox and conversation cleanup: Direct your agent to delete entire conversations, mailboxes, or individual messages for efficient workspace management.
  • Contact and signature management: Seamlessly delete contacts and email signatures, keeping your Helpwise account up to date and clutter-free.
  • Webhook and team setup: Have your agent create new webhooks for event notifications or set up Helpwise teams to organize your users for better collaboration.

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 Helpwise 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 Helpwise 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: ['helpwise']
    }
);

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

Configure the agent with the MCP URL

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

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

Create attachment

Tool to upload a new attachment.

Add note to conversation

Tool to add a note to a conversation.

Create Helpwise Team

Creates a new team in Helpwise to group users for collaboration and assignment purposes.

Create Helpwise Webhook

Creates a new webhook subscription in Helpwise to receive real-time event notifications.

Delete Contact

Deletes a contact from Helpwise by its unique identifier (ID).

Delete Helpwise Conversation

Attempts to delete a conversation by ID from Helpwise.

Delete Mailbox

Tool to delete a mailbox by its unique identifier.

Delete Helpwise Message

Attempts to delete a message from Helpwise.

Delete Helpwise Note

Tool to delete a note from a conversation.

Delete Email Signature

Deletes an email signature from Helpwise.

Delete Tag

Permanently deletes a tag from Helpwise.

Delete Team

Tool to delete a team.

Delete Template

Deletes a Helpwise email template (saved reply) by its ID.

Delete Helpwise Webhook

Delete a Helpwise webhook by its ID.

Get Attachment

Retrieves a specific attachment by its unique identifier.

Get Conversation Attachments

Retrieves attachments from messages in a specific conversation.

Get Helpwise Contact

Retrieves detailed information for a specific contact by ID.

Get Conversation

Retrieves complete details of a specific conversation by ID from Helpwise.

Get Conversations

Tool to retrieve a list of conversations.

Get Helpwise Custom Field

Retrieves details of a specific custom field by its ID.

Get Helpwise Mailbox

Tool to retrieve details of a specific mailbox by its ID.

Get Helpwise Mailboxes

Tool to retrieve mailboxes.

Get Conversation Note

Tool to retrieve details of a specific note.

Get Conversation Notes

Retrieves all notes associated with a specific conversation.

Get Helpwise Tag

Retrieves detailed information about a specific tag in Helpwise.

Get Helpwise Team

Retrieves details of a specific Helpwise team by its ID.

Get Helpwise Teams

Tool to retrieve Helpwise teams.

Get Helpwise WhatsApp Templates

Tool to retrieve Helpwise WhatsApp message templates.

Get Helpwise Users

Tool to retrieve Helpwise users list.

Get Helpwise Webhook

Retrieve detailed configuration for a specific Helpwise webhook by its ID.

Get Helpwise Webhooks

Tool to retrieve Helpwise webhooks.

Search Helpwise Contacts

Tool to search contacts by term with pagination.

Update Helpwise Contact

Tool to update an existing Helpwise contact.

Update Mailbox

Updates an existing Helpwise mailbox.

Update Helpwise Message

Tool to update an existing message.

Update Helpwise Tag

Updates an existing tag's name and/or color in Helpwise.

Update Helpwise Template

Updates an existing Helpwise email template by modifying its name, subject, and/or HTML content.

FRAMEWORKS

How to build Helpwise MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Helpwise MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Helpwise MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Helpwise MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Helpwise MCP with Claude Cowork

Codex logo

Codex

Use Helpwise MCP with Codex

OpenClaw logo

OpenClaw

Use Helpwise MCP with OpenClaw

Hermes logo

Hermes

Use Helpwise MCP with Hermes

CLI logo

CLI

Use Helpwise MCP with CLI

Google ADK logo

Google ADK

Use Helpwise MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Helpwise MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Helpwise MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Helpwise MCP with LlamaIndex

CrewAI logo

CrewAI

Use Helpwise MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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.

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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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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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