How to integrate Mx technologies MCP with LangChain

This guide walks you through connecting Mx technologies to LangChain using the Composio tool router. By the end, you'll have a working Mx technologies agent that can create a manual account for a user, list account numbers for a specific member, fetch rewards for a connected member through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Mx technologies account through Composio's Mx technologies MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Basic

Mx technologies is a unified API platform for aggregating and enhancing financial data across banks and institutions. It streamlines access to transactional, account, and identity data for smarter financial applications.

36 Tools

Introduction

This guide walks you through connecting Mx technologies to LangChain using the Composio tool router. By the end, you'll have a working Mx technologies agent that can create a manual account for a user, list account numbers for a specific member, fetch rewards for a connected member through natural language commands.

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

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

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

The Mx technologies MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mx technologies account. It provides structured and secure access to financial data aggregation and account management features, so your agent can perform actions like creating accounts, managing members, fetching financial rewards, and handling account ownership on your behalf.

  • Automated account creation and management: Let your agent create new manual accounts, partner accounts, and user SSO accounts for seamless onboarding and testing.
  • Member aggregation and connection: Instruct your agent to create members and initiate aggregation of financial products across institutions, streamlining financial data collection.
  • Rewards and incentives tracking: Have your agent fetch and aggregate member rewards data after account connections, so you never miss out on incentives.
  • Secure access to account details: Direct your agent to list account owners, retrieve account numbers by member, and access configurable widget URLs for enhanced user interactions.
  • Credential and API management: Use your agent to retrieve API credentials for audience services, streamlining authentication flows and integrations.

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 Mx technologies 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 Mx technologies 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: ['mx_technologies']
    }
);

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

Configure the agent with the MCP URL

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

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

Disable MX User Account

Disables an MX user account, preventing background updates to accounts and transactions and restricting data access.

Create account

Creates a manual account for a specified user in MX Platform.

Retrieve Audience API Credentials

Tool to retrieve Audience API credentials.

Create member

Create a member to connect a user to a financial institution.

Create Partner Account

Create a new user (partner account) in the MX Platform.

Fetch rewards

Initiate rewards aggregation for a specific member.

Get configurable widget URL

Retrieve a configurable widget URL for embedding MX widgets (Connect, Transactions, Pulse, etc.

List Account Numbers by Member

Tool to list account numbers for a specific member.

List account owners

Tool to list account owners for a specific member.

List accounts

Tool to list all accounts for a user.

List budgets

List all budgets for a specific MX user.

List categories

Tool to list all categories for a user.

List challenges

Tool to list MFA challenges for a member.

List favorite institutions

List the partner's favorite financial institutions, sorted by popularity.

List goals

List all financial goals for a specific MX user.

List institution credentials

Tool to list credential fields required by a given institution.

List institutions

Tool to list financial institutions supported by MX.

List member accounts

Tool to list accounts for a specific member.

List members

List all members (financial institution connections) for a specific user.

List rewards

Lists rewards and loyalty program data for a specific member.

List statements by member

Retrieve a paginated list of monthly account statements (PDF) for a specific member.

List taggings

List all taggings for a specific MX user.

List tags

List all custom tags associated with a specific MX user.

List transactions

Retrieve all financial transactions for an MX user across all their connected accounts and members.

List transactions by member

Tool to list transactions for a member.

List users

List all users in the MX Platform.

Read account

Tool to retrieve details for a specific account.

Read category

Tool to retrieve a default category by GUID.

Read FDX account

Retrieve details for a specific account using the FDX 4.

Read institution

Tool to retrieve details for a specific institution by code.

Read transaction

Tool to retrieve details for a specific transaction by its GUID.

Read transaction by account

Tool to retrieve details for a specific transaction by account.

Read transaction rule

Tool to retrieve details for a specific transaction rule by its GUID.

Update transaction

Tool to update a specific transaction's description.

Update transaction rules

Tool to update an existing transaction rule.

Update user tagging

Tool to update a tagging for an MX user.

FRAMEWORKS

How to build Mx technologies MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Mx technologies MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Mx technologies MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Mx technologies MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Mx technologies MCP with Claude Cowork

Codex logo

Codex

Use Mx technologies MCP with Codex

OpenClaw logo

OpenClaw

Use Mx technologies MCP with OpenClaw

Hermes logo

Hermes

Use Mx technologies MCP with Hermes

CLI logo

CLI

Use Mx technologies MCP with CLI

Google ADK logo

Google ADK

Use Mx technologies MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Mx technologies MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Mx technologies MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Mx technologies MCP with LlamaIndex

CrewAI logo

CrewAI

Use Mx technologies MCP with CrewAI

FAQ

Frequently asked questions

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

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

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