How to integrate Data247 MCP with Mastra AI

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Introduction

This guide walks you through connecting Data247 to Mastra AI using the Composio tool router. By the end, you'll have a working Data247 agent that can validate an email address for accuracy, find carrier for a phone number, enrich contact record with address details through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Data247 account through Composio's Data247 MCP server.

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

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 Data247 tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Data247 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 Data247 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 Data247 MCP server, and what's possible with it?

The Data247 MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Data247 account. It provides structured and secure access so your agent can perform Data247 operations on your behalf.

Supported Tools & Triggers

Tools
Append Email by Name and AddressTool to find email addresses associated with name and postal address.
Append Gender by First NameTool to determine a person's probable gender based on their first (given) name.
Append Name (CNAM Lookup)Tool to get CNAM (Caller Name Delivery) data for a phone number.
Append Phone to ContactTool to append phone numbers to contact records using name and address.
Append Property DataTool to retrieve comprehensive property data including home stats, ownership information, financials and foreclosure data.
Append Reverse Email LookupTool to perform reverse email lookup and retrieve contact information.
Append Reverse Phone LookupTool to perform reverse phone lookup and retrieve name and address information.
Append Reverse Zipcode LookupTool to get formatted address components from a zipcode.
Append ZIP+4 to AddressTool to append ZIP+4 postal codes to addresses and standardize address information.
Check Account BalanceTool to check Data247 account balance and remaining credits.
Get Carrier Type for Phone NumberTool to determine carrier type for USA and Canadian phone numbers.
Get USA Carrier and SMS/MMS Gateway InfoTool to get carrier information, wireless status, and SMS/MMS gateway addresses for USA phone numbers.
Check Phone Number for Fraud/SPAMTool to check if a phone number is on SPAM callers list.
Add Phone to Do-Not-Call ListTool to add phone numbers to your internal do-not-call (DNC) list.
Check Phone Number Against DNC ListsTool to check if a phone number exists in Federal or internal Do-Not-Call list.
Remove Phone from Do-Not-Call ListTool to remove phone numbers from your internal do-not-call (DNC) list.
Locate IP Address - Get Geolocation DataTool to get geolocation data for IPv4 addresses including city, state, country, and coordinates.
Get Carrier and Gateway Info (Text@ Service)Tool to get carrier information, wireless status, and email-to-SMS/MMS gateway addresses for USA and Canadian phone numbers using the Text@ service.
Verify User Identity Trust ScoreTool to verify user signup legitimacy and detect account creation fraud.
Verify Email AddressTool to verify email address format and mailbox existence.
Verify Phone Number Active StatusTool to verify if a phone number is in-service and accepts inbound calls.
Verify USA Postal AddressTool to verify and correct USA postal addresses to USPS standards.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

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

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 Data247 through MCP.

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

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

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

Create a Tool Router session for Data247

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["data247"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Data247 MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "data247" for Data247 access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

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 Data247 toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "data247-mastra-agent",
    instructions: "You are an AI agent with Data247 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

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: {
        data247: 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 Data247 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 Data247 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: ["data247"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      data247: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "data247-mastra-agent",
    instructions: "You are an AI agent with Data247 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: { data247: 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 Data247 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

How to build Data247 MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Data247 MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Data247 MCP with Claude Agent SDK

Google ADK

Google ADK

Use Data247 MCP with Google ADK

LangChain

LangChain

Use Data247 MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Data247 MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Data247 MCP with LlamaIndex

CrewAI

CrewAI

Use Data247 MCP with CrewAI

Claude Code

Claude Code

Use Data247 MCP with Claude Code

Codex

Codex

Use Data247 MCP with Codex

FAQ

What are the differences in Tool Router MCP and Data247 MCP?

With a standalone Data247 MCP server, the agents and LLMs can only access a fixed set of Data247 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Data247 and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra 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 Data247 tools.

Can I manage the permissions and scopes for Data247 while using Tool Router?

Yes, absolutely. You can configure which Data247 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 Data247 data and credentials are handled as safely as possible.

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