How to integrate Callpage MCP with Pydantic AI

This guide walks you through connecting Callpage to Pydantic AI using the Composio tool router. By the end, you'll have a working Callpage agent that can list all widgets with enabled status, get sms statistics for widget 12345, create a custom voice message for spanish visitors through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Callpage account through Composio's Callpage MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.

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Introduction

This guide walks you through connecting Callpage to Pydantic AI using the Composio tool router. By the end, you'll have a working Callpage agent that can list all widgets with enabled status, get sms statistics for widget 12345, create a custom voice message for spanish visitors through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Callpage account through Composio's Callpage MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Callpage with

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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 Callpage
  • 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 Callpage 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 Callpage MCP server, and what's possible with it?

The Callpage MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Callpage account. It provides structured and secure access to your Callpage lead management tools, so your agent can perform actions like retrieving widgets, managing users, monitoring SMS activity, and customizing voice messages on your behalf.

  • Retrieve and manage widgets: Quickly list all your Callpage widgets, access detailed widget configurations, and monitor widget status statistics to optimize lead capture.
  • View and audit account users: Effortlessly fetch lists of all users and managers, including status summaries, to keep your team structure up to date and compliant.
  • Monitor SMS and messaging activity: Access all SMS messages and gather statistics on SMS usage for specific widgets, helping you track engagement and campaign reach.
  • Create custom voice messages: Enable your agent to generate personalized voice greetings for widgets, tailoring communication for both managers and visitors with ease.
  • API connectivity and health checks: Let your agent verify API connectivity and status, ensuring seamless and reliable integration between Callpage and your workflows.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Callpage
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Callpage
  • MCPServerStreamableHTTP connects to the Callpage MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Callpage
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["callpage"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Callpage 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
callpage_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[callpage_mcp],
    instructions=(
        "You are a Callpage assistant. Use Callpage tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Callpage endpoint
  • The agent uses GPT-5 to interpret user commands and perform Callpage operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Callpage.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Callpage API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

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

Complete Code

Here's the complete code to get you started with Callpage and Pydantic AI:

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 Callpage
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["callpage"],
    )
    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
    callpage_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[callpage_mcp],
        instructions=(
            "You are a Callpage assistant. Use Callpage 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 Callpage.\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 Callpage through Composio's Tool Router. With this setup, your agent can perform real Callpage 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 + Callpage for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Callpage action and event your agent gets out of the box.

Add Users to Widget

Tool to add users to a widget as managers.

Create SMS Message

Tool to create custom SMS messages for specific widget events.

Create User

Tool to create a new user with specified name, phone number, email and role.

Delete Manager

Tool to delete a manager from a widget.

Delete User by Id

Tool to delete a user by id.

Get All Managers

Tool to retrieve a list of managers for a specific widget with pagination.

Get All SMS Messages

Tool to retrieve all SMS messages for a widget.

Get All Users

Tool to retrieve a list of all users with pagination.

Get All Voice Messages

Tool to retrieve all voice messages for a widget.

Get All Widgets

Tool to retrieve a list of widgets with pagination.

Get API Root

Tool to get the root API greeting.

Get Calls History

Tool to retrieve calls history with filtering and pagination.

Get Manager

Tool to retrieve a specific manager by user_id and widget_id.

Get Manager Status Statistics

Tool to retrieve statistical data about manager statuses.

Get Widget

Tool to retrieve details of a specific widget by id.

Create Manager

Tool to create a new manager for a widget.

Create Voice Message

Tool to create a custom voice message for a widget.

Create Widget

Tool to create a new widget.

Delete Widget by Id

Tool to delete a widget by id.

Reset SMS

Tool to reset SMS messages to default for a widget.

Reset Voice Messages

Tool to reset voice messages to default for a widget.

Update Manager

Tool to update an existing manager.

Update SMS

Tool to update a custom SMS message for a widget.

Update User

Tool to update an existing user by ID.

Update Widget

Tool to update an existing widget.

Widget Call or Schedule

Tool to initiate or schedule a call via widget.

FRAMEWORKS

How to build Callpage MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Callpage MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Callpage MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Callpage MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Callpage MCP with Claude Cowork

Codex logo

Codex

Use Callpage MCP with Codex

OpenClaw logo

OpenClaw

Use Callpage MCP with OpenClaw

Hermes logo

Hermes

Use Callpage MCP with Hermes

CLI logo

CLI

Use Callpage MCP with CLI

Google ADK logo

Google ADK

Use Callpage MCP with Google ADK

LangChain logo

LangChain

Use Callpage MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Callpage MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Callpage MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Callpage MCP with LlamaIndex

CrewAI logo

CrewAI

Use Callpage MCP with CrewAI

FAQ

Frequently asked questions

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

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 Callpage tools.

Yes, absolutely. You can configure which Callpage 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.

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 Callpage data and credentials are handled as safely as possible.

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