# How to integrate Poof MCP with LangChain

```json
{
  "title": "How to integrate Poof MCP with LangChain",
  "toolkit": "Poof",
  "toolkit_slug": "poof",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/poof/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/poof/framework/langchain.md",
  "updated_at": "2026-03-29T06:46:08.933Z"
}
```

## Introduction

This guide walks you through connecting Poof to LangChain using the Composio tool router. By the end, you'll have a working Poof agent that can send crypto payment to a vendor, check status of latest poof transaction, generate invoice for client in usd through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Poof account through Composio's Poof MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Poof with

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

## TL;DR

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

The Poof MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Poof account. It provides structured and secure access so your agent can perform Poof operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POOF_CHECK_BALANCE` | Check Balance | Tool to check the balance of a cryptocurrency wallet. Use when you need to retrieve the current balance for a specified blockchain wallet address. |
| `POOF_CREATE_CHECKOUT` | Create Checkout Session | Tool to create a checkout session for fiat payments. Use when you need to generate a payment link for customers to complete their purchase through the Poof payment infrastructure. |
| `POOF_CREATE_DEPOSIT_ADDRESS` | Create Deposit Address | Tool to create a deposit address for receiving cryptocurrency payments. Generates a unique blockchain address to accept incoming crypto deposits. Use when you need to create a payment address for a customer to send cryptocurrency to. |
| `POOF_CREATE_FIAT_CHARGE` | Create Fiat Charge | Tool to create a fiat currency charge through Poof's payment gateway integration. Use when initiating a one-time fiat payment collection via PayPal, Stripe, Square, or other supported gateways. |
| `POOF_CREATE_FIAT_INVOICE` | Create Fiat Invoice | Create a fiat currency invoice for payment collection. Generates an invoice for collecting payments in traditional currencies via payment processors like PayPal, Stripe, Square, Cash App, etc. Returns a checkout URL for customer payment. |
| `POOF_CREATE_PAYMENT_LINK` | Create Payment Link | Tool to create a payment link (invoice) for cryptocurrency payments. Use when you need to generate a shareable payment URL for collecting crypto payments from customers. |
| `POOF_CREATE_POOF_WEBHOOK` | Create Poof Webhook | Tool to create a webhook subscription for receiving payment event notifications. Use when you need to set up real-time notifications for transaction status changes and other payment events. |
| `POOF_FETCH_GAS_PRICE` | Fetch Gas Price | Tool to fetch current gas prices for blockchain transactions. Returns gas price estimates for Ethereum, Avalanche, Polygon, and other supported EVM chains across different priority levels (slow, standard, fast, instant). |
| `POOF_FETCH_CRYPTOCURRENCY_PRICE` | Fetch Cryptocurrency Price | Tool to fetch current cryptocurrency prices for supported tokens. Use when you need real-time price data for cryptocurrencies and tokens. |
| `POOF_FETCH_SMART_CONTRACTS` | Fetch Smart Contracts | Tool to fetch all supported ERC-20 smart contracts across Ethereum, Avalanche, and Polygon networks. Use when you need to retrieve available token contracts and their details for blockchain operations. |
| `POOF_SEND_CRYPTOCURRENCY_PAYOUT` | Send Cryptocurrency Payout | Tool to send a cryptocurrency payout transaction from your wallet to an external address. Use when you need to transfer crypto on supported blockchains. |

## Supported Triggers

None listed.

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

The Poof MCP server is an implementation of the Model Context Protocol that connects your AI agent to Poof. It provides structured and secure access so your agent can perform Poof 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 Poof 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 Poof 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 Poof tools as needed
```python
# Create Tool Router session for Poof
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['poof']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "poof-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({
    "poof-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 Poof 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 Poof 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=['poof']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "poof-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 Poof 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: ['poof']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "poof-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 Poof 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 Poof 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 Poof MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/poof/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/poof/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/poof/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/poof/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/poof/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/poof/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/poof/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/poof/framework/cli)
- [Google ADK](https://composio.dev/toolkits/poof/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/poof/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/poof/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/poof/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/poof/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.
- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [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.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [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.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
- [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.
- [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [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.
- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [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.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [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.

## Frequently Asked Questions

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

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

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

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

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