# How to integrate Beaconstac MCP with LangChain

```json
{
  "title": "How to integrate Beaconstac MCP with LangChain",
  "toolkit": "Beaconstac",
  "toolkit_slug": "beaconstac",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/beaconstac/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/beaconstac/framework/langchain.md",
  "updated_at": "2026-05-06T08:02:18.065Z"
}
```

## Introduction

This guide walks you through connecting Beaconstac to LangChain using the Composio tool router. By the end, you'll have a working Beaconstac agent that can create a qr code template for event tickets, list all physical places registered for your brand, delete an outdated qr code template through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Beaconstac account through Composio's Beaconstac MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Beaconstac with

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

## TL;DR

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

The Beaconstac MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Beaconstac account. It provides structured and secure access to your QR code and proximity marketing assets, so your agent can perform actions like creating QR templates, managing places and tags, and organizing collections on your behalf.
- QR code template creation and management: Easily instruct your agent to create new QR code templates or delete outdated ones, streamlining your marketing campaigns.
- Place and location asset organization: Let your agent register new places or list all your locations for precise proximity marketing management.
- Bulk QR code collection browsing: Have your agent search, filter, and organize your bulk QR code collections to keep assets accessible and sorted.
- Tagging and categorization automation: Direct your agent to create or delete tags, making it simple to categorize and organize QR codes and related objects.
- Organization and user management: Enable your agent to list organizations, onboard new users, or manage access for streamlined account administration.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BEACONSTAC_CREATE_PLACE` | Create Place | Tool to create a new place for location-based assets. use when you need to register a new physical place under an organization. |
| `BEACONSTAC_CREATE_QR_TEMPLATE` | Create QR Template | Tool to create a new qr code template. use when you need reusable design presets for qr codes. |
| `BEACONSTAC_CREATE_TAG` | Create Tag | Tool to create a new tag for organizing qr codes and other objects. use when you need to categorize qr codes under a specific organization. |
| `BEACONSTAC_CREATE_USER` | Create User | Tool to create a new user. use when onboarding a new user under your organization (reseller plan and above). |
| `BEACONSTAC_DELETE_QR_CODE` | Delete QR Code | Tool to delete a qr code by its id. use when you need to remove an existing qr code after validation. |
| `BEACONSTAC_DELETE_QR_TEMPLATE` | Delete QR Code Template | Tool to delete a qr code template by its id. use when you need to permanently remove a qr code template that is no longer needed. |
| `BEACONSTAC_DELETE_TAG` | Delete Tag | Tool to delete a tag by its id. use when you need to remove an existing tag after validation. |
| `BEACONSTAC_LIST_BULK_QR_CODES` | List Bulk QR Code Collections | Tool to list bulk qr code collections. use when you need to filter, search, or order your bulk qr code collections. |
| `BEACONSTAC_LIST_ORGANIZATIONS` | List Organizations | Tool to list organizations. use when you need to fetch all organizations accessible to the authenticated account. |
| `BEACONSTAC_LIST_PLACES` | List Places | Tool to list your places. use when you need to browse or search your account's places with filtering and ordering. |
| `BEACONSTAC_LIST_QR_TEMPLATES` | List QR Templates | Tool to list all qr code templates in your account. use when you need to filter and paginate templates. |
| `BEACONSTAC_LIST_TAGS` | List Tags | Tool to list all tags with optional filtering and pagination. use when you need to browse or search tags in your account. |
| `BEACONSTAC_LIST_USERS` | List Users | Tool to list all users with optional filtering, searching, ordering, and pagination. use when you need to retrieve user records across your organization. |
| `BEACONSTAC_PERIOD_OVERVIEW` | Get Period Overview | Tool to get period overview analytics for products including counts, impressions, and conversion percentage. use after specifying the product type and time interval. |
| `BEACONSTAC_PRODUCT_OVERVIEW` | Get Product Overview | Tool to get analytics overview for a specified product type over a given time interval. use after specifying the product type and time range to obtain summary metrics. |
| `BEACONSTAC_RETRIEVE_QR_CODE` | Retrieve QR Code | Tool to retrieve details of a specific qr code by its id. use when you need to fetch or verify qr code properties after creation or update. |
| `BEACONSTAC_RETRIEVE_USER` | Retrieve User | Tool to retrieve the details of an existing user by id. use when you need to fetch a user's profile after confirming its existence. |
| `BEACONSTAC_UPDATE_PLACE` | Update Place | Tool to update the specified place by id. use after retrieving the place to modify its details, such as name, address, or coordinates. |
| `BEACONSTAC_UPDATE_QR_CODE` | Update QR Code | Tool to update an existing qr code by its id. use when you need to modify qr code attributes; only provided fields are changed. |
| `BEACONSTAC_UPDATE_TAG` | Update Tag | Tool to update an existing tag by its id. use when you need to modify a tag's name or color after confirming its id via list tags. |
| `BEACONSTAC_UPDATE_USER` | Update User | Tool to update an existing user. use when you need to modify profile details or organization of a user by their id. |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

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

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

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

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

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## Frequently Asked Questions

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

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

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

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

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