# How to integrate Laposta MCP with LangChain

```json
{
  "title": "How to integrate Laposta MCP with LangChain",
  "toolkit": "Laposta",
  "toolkit_slug": "laposta",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/laposta/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/laposta/framework/langchain.md",
  "updated_at": "2026-03-29T06:40:02.341Z"
}
```

## Introduction

This guide walks you through connecting Laposta to LangChain using the Composio tool router. By the end, you'll have a working Laposta agent that can add subscriber to laposta list by email, send campaign to "monthly updates" group, get open rates for last laposta campaign through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Laposta account through Composio's Laposta MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Laposta with

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

## TL;DR

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

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LAPOSTA_CAMPAIGN_GET_ALL` | Get All Campaigns | Tool to retrieve all campaigns from Laposta account. Use when you need to list all email campaigns with their configuration and delivery status. |
| `LAPOSTA_FIELD_CREATE` | Create Custom Field | Tool to create a custom field for a mailing list to define subscriber attributes. Use when you need to add custom fields like text, numeric, date, or select fields to a list. For select fields (select_single or select_multiple), you must provide the options parameter. |
| `LAPOSTA_FIELD_DELETE` | Delete Field | Tool to permanently remove a custom field from a mailing list. Use when you need to delete a field that is no longer needed. |
| `LAPOSTA_FIELD_GET` | Get Field Details | Tool to retrieve specific field details by field_id. Use when you need to fetch complete information about a custom field including its configuration, data type, and available options. |
| `LAPOSTA_GET_ALL_FIELDS` | Get All Fields | Tool to retrieve all fields for a specific list in Laposta. Use when you need to see all field definitions, metadata, and settings for a list. |
| `LAPOSTA_UPDATE_FIELD` | Update Field | Tool to modify field configuration in a Laposta list. Use when you need to update field properties such as name, datatype, required status, or display settings. WARNING: Modifying datatype removes all data from that field. |
| `LAPOSTA_CLEAR_ALL_MEMBERS_FROM_LIST` | Clear All Members From List | Tool to clear all active members from a list. Use when you need to remove all active member relationships while preserving the list itself. The operation is permanent and cannot be undone. |
| `LAPOSTA_CREATE_MAILING_LIST` | Create Mailing List | Tool to create a new mailing list in Laposta to manage email subscribers. Use when you need to create a new list with zero members. |
| `LAPOSTA_DELETE_LIST` | Delete List | Tool to permanently remove a mailing list from Laposta. Use when you need to delete a list that is no longer needed. The list cannot be recovered after deletion. |
| `LAPOSTA_GET_LIST_DETAILS` | Get List Details | Tool to retrieve specific list details by list_id. Use when you need to fetch complete information about a mailing list including its metadata, state, notification settings, and member statistics. |
| `LAPOSTA_GET_ALL_LISTS` | Get All Lists | Tool to retrieve all mailing lists from your Laposta account. Use when you need to view all lists including both active and deleted ones. |
| `LAPOSTA_UPDATE_MAILING_LIST` | Update Mailing List | Tool to modify list properties such as name, remarks, or notification emails. Use when you need to update an existing mailing list's configuration. |
| `LAPOSTA_CREATE_MEMBER` | Create Member | Tool to add a new subscriber relationship to a list with custom fields and tracking info. Use when you need to create a new member in a list or update an existing member if upsert is enabled. |
| `LAPOSTA_DELETE_MEMBER` | Delete Member | Tool to permanently remove a member from a list. Use when you need to delete a member by their ID or email address. |
| `LAPOSTA_GET_MEMBER` | Get Member | Tool to retrieve specific member details by member_id or email. Use when you need to get comprehensive information about a member from a list, including their status, registration details, and custom field values. |
| `LAPOSTA_GET_ALL_MEMBERS` | Get All Members | Tool to retrieve all members from a specified Laposta mailing list. Use when you need to list or view all contacts in a list. Optionally filter by member state (active, unsubscribed, or cleaned). |
| `LAPOSTA_UPDATE_MEMBER` | Update Member | Tool to modify member data, status, or custom fields in a Laposta list. Use when updating existing member information or managing subscription state. Supports partial updates (only modified fields need to be included). |
| `LAPOSTA_GET_ALL_CAMPAIGN_REPORTS` | Get All Campaign Reports | Tool to retrieve performance metrics for all campaigns. Use when you need campaign statistics including opens, clicks, bounces, complaints, and unsubscribes. |
| `LAPOSTA_GET_ALL_SEGMENTS` | Get All Segments | Tool to retrieve all segments from a mailing list. Use when you need to list or browse segments within a specific list. |
| `LAPOSTA_CREATE_WEBHOOK` | Create Webhook | Tool to register a new webhook for list events in Laposta. Use when you need to receive real-time notifications for subscriber events like subscriptions, modifications, or deactivations. |
| `LAPOSTA_DELETE_WEBHOOK` | Delete Webhook | Tool to permanently remove a webhook. Use when you need to delete a webhook from a list. Pending webhook requests are completed before deletion. |
| `LAPOSTA_GET_WEBHOOK_DETAILS` | Get Webhook Details | Tool to retrieve specific webhook details by webhook_id. Use when you need to inspect webhook configuration including event type, URL, and status. |
| `LAPOSTA_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all webhooks for a specific list. Use when you need to view all webhooks configured for a particular list. |
| `LAPOSTA_UPDATE_WEBHOOK` | Update Webhook | Tool to modify webhook configuration including URL, event type, or blocked status. Use when you need to update an existing webhook's settings. |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

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

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

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

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

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## Frequently Asked Questions

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

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

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

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

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