# How to integrate Elorus MCP with LangChain

```json
{
  "title": "How to integrate Elorus MCP with LangChain",
  "toolkit": "Elorus",
  "toolkit_slug": "elorus",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/elorus/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/elorus/framework/langchain.md",
  "updated_at": "2026-05-06T08:10:11.561Z"
}
```

## Introduction

This guide walks you through connecting Elorus to LangChain using the Composio tool router. By the end, you'll have a working Elorus agent that can create a new invoice for acme corp, list all unpaid bills from last month, email latest invoice to a specific contact through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Elorus account through Composio's Elorus MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Elorus with

- [OpenAI Agents SDK](https://composio.dev/toolkits/elorus/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/elorus/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/elorus/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/elorus/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/elorus/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/elorus/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/elorus/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/elorus/framework/cli)
- [Google ADK](https://composio.dev/toolkits/elorus/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/elorus/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/elorus/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/elorus/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/elorus/framework/crew-ai)

## TL;DR

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

The Elorus MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Elorus account. It provides structured and secure access to your invoicing, billing, and time-tracking tools, so your agent can perform actions like creating invoices, managing contacts, tracking estimates, and sending billing communications on your behalf.
- Automated invoice creation and delivery: Instruct your agent to generate new invoices, fill in all necessary details, and instantly email them to clients or contacts with just a prompt.
- Comprehensive contact management: Ask your agent to fetch, list, and organize your business contacts, so you can easily keep your client database up to date or find specific clients in seconds.
- Dynamic bills and expenses tracking: Let your agent retrieve and manage lists of bills and expenses, helping you stay on top of accounts payable and overall financial health.
- Flexible product and service catalog management: Direct your agent to create new products or services, update details, or fetch lists of items for invoicing and inventory purposes.
- Estimates and credit notes retrieval: Have your agent pull up estimates or credit notes with filters for date, contact, or status—ideal for monitoring ongoing deals and financial adjustments.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ELORUS_CREATE_INVOICE` | Create Invoice | Tool to create a new invoice. use after gathering all invoice details. |
| `ELORUS_CREATE_PRODUCT` | CREATE_PRODUCT | Tool to create a new product or service in elorus. use when you need to add or configure items/services in your product catalog. |
| `ELORUS_EMAIL_INVOICE` | Email Invoice | Tool to email an existing invoice to specified contacts. use after generating an invoice and obtaining contact ids. |
| `ELORUS_GET_BILLS` | Get Bills | Tool to retrieve a list of bills. use when you need to list bills with optional filters after creation. |
| `ELORUS_GET_CONTACTS` | Get Contacts | Tool to retrieve a list of contacts. use after authentication to fetch contacts in batches. example: 'list page 2 of active company contacts sorted by name.' |
| `ELORUS_GET_CREDIT_NOTES` | Get Credit Notes | Tool to retrieve a list of credit notes. use when you need to fetch credit notes filtered by page, contact, date range, or currency. |
| `ELORUS_GET_EMAIL_TEMPLATES` | Get Email Templates | Tool to retrieve a list of email templates. use when you need to fetch and page through existing templates in the organization. |
| `ELORUS_GET_ESTIMATES` | Get Estimates | Tool to retrieve a list of estimates. use when you need to list estimates with pagination after creation. |
| `ELORUS_GET_INVOICES` | Get Invoices | Tool to retrieve a list of invoices. use when you need to list invoices with filtering and pagination options. |
| `ELORUS_GET_PRODUCTS` | Get Products | Tool to retrieve a list of products/services with optional filtering, sorting, and pagination. use when you need to fetch products for reports, ui lists, or inventory management. |
| `ELORUS_GET_TAXES` | Get Taxes | Tool to retrieve a list of taxes. use after authentication to list taxes with optional filters. |
| `ELORUS_GET_TEMPLATES` | Get Templates | Tool to retrieve a list of document templates. use when you need to list and paginate available templates. |
| `ELORUS_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact by id. use when you need to modify contact details after retrieving current information. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Elorus MCP server is an implementation of the Model Context Protocol that connects your AI agent to Elorus. It provides structured and secure access so your agent can perform Elorus operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

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
```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
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
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();
```

### 5. Initialize Composio client

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 Elorus tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
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()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Elorus 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 Elorus tools as needed
```python
# Create Tool Router session for Elorus
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['elorus']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['elorus']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "elorus-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "elorus-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 });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Elorus related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Elorus 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);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['elorus']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "elorus-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Elorus related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
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: ['elorus']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "elorus-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 Elorus 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 Elorus 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.

## How to build Elorus MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/elorus/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/elorus/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/elorus/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/elorus/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/elorus/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/elorus/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/elorus/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/elorus/framework/cli)
- [Google ADK](https://composio.dev/toolkits/elorus/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/elorus/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/elorus/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/elorus/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/elorus/framework/crew-ai)

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
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- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.
- [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Elorus MCP?

With a standalone Elorus MCP server, the agents and LLMs can only access a fixed set of Elorus tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Elorus and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LangChain?

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 Elorus tools.

### Can I manage the permissions and scopes for Elorus while using Tool Router?

Yes, absolutely. You can configure which Elorus 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.

### How safe is my data with Composio Tool Router?

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 Elorus data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)