# How to integrate Laposta MCP with Pydantic AI

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

## Introduction

This guide walks you through connecting Laposta to Pydantic AI 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 Pydantic AI 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)
- [LangChain](https://composio.dev/toolkits/laposta/framework/langchain)
- [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:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Laposta
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Laposta workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Laposta
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Laposta
- MCPServerStreamableHTTP connects to the Laposta MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. 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
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Laposta
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["laposta"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Laposta endpoint
- The agent uses GPT-5 to interpret user commands and perform Laposta operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
laposta_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[laposta_mcp],
    instructions=(
        "You are a Laposta assistant. Use Laposta tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Laposta API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Laposta.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Laposta
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["laposta"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    laposta_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[laposta_mcp],
        instructions=(
            "You are a Laposta assistant. Use Laposta tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Laposta.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Laposta through Composio's Tool Router. With this setup, your agent can perform real Laposta actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Laposta for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## 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)
- [LangChain](https://composio.dev/toolkits/laposta/framework/langchain)
- [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)

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## 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 Pydantic AI?

Yes, you can. Pydantic AI 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)
