SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Callpage MCP with Mastra AI

Connect Mastra AI to Callpage MCP. List all widgets with enabled status, get sms statistics for widget 12345, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Callpage logoCallpage
Api Key

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.

26 Tools

Introduction

This guide walks you through connecting Callpage to Mastra AI using the Composio tool router. By the end, you'll have a working Callpage agent that can trigger or schedule callbacks, review call history, manage widgets, configure SMS and voice messages, and manage users and managers through natural language commands.

This guide will help you understand how to give your Mastra 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.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Callpage with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Callpage tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Callpage tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Callpage agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Callpage through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Callpage

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["callpage"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Callpage MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "callpage" for Callpage access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Callpage toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "callpage-mastra-agent",
    instructions: "You are an AI agent with Callpage tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        callpage: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Callpage toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["callpage"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      callpage: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "callpage-mastra-agent",
    instructions: "You are an AI agent with Callpage tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { callpage: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Callpage through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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

Create a custom SMS message for a widget event, such as a completed dial, scheduled call, or cancelled scheduled call.

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

Retrieve a paginated list of managers assigned to a widget.

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

Retrieve manager status counts for a widget from the returned page of managers.

Get Widget

Retrieve details of a specific widget by ID, including its basic configuration and assignments.

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

Update a manager's availability and business hours for a widget.

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

Claude Code logo

Claude Code

Use Callpage MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Callpage MCP with Claude Cowork

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

Codex logo

Codex

Use Callpage MCP with Codex

OpenClaw logo

OpenClaw

Use Callpage MCP with OpenClaw

Hermes logo

Hermes

Use Callpage MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Callpage MCP with Atomic Agent

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

LlamaIndex logo

LlamaIndex

Use Callpage MCP with LlamaIndex

CrewAI logo

CrewAI

Use Callpage MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Callpage MCP with Pydantic AI

AutoGen logo

AutoGen

Use Callpage MCP with AutoGen

FAQ

Frequently asked questions

Start with Callpage.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Callpage tool your agent needs.Free to start.

Start building