How to integrate Heyreach MCP with OpenAI Agents SDK

This guide walks you through connecting Heyreach to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Heyreach agent that can list all active outreach campaigns, get all leads from your main list, fetch linkedin accounts connected to heyreach through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Heyreach account through Composio's Heyreach MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Heyreach logoHeyreach
Api Key

HeyReach is a multichannel outreach platform for businesses and professionals. Effortlessly engage your audience and streamline campaigns from a single place.

19 Tools

Introduction

This guide walks you through connecting Heyreach to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Heyreach agent that can list all active outreach campaigns, get all leads from your main list, fetch linkedin accounts connected to heyreach through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Heyreach account through Composio's Heyreach MCP server.

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

Also integrate Heyreach with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Heyreach
  • Configure an AI agent that can use Heyreach as a tool
  • Run a live chat session where you can ask the agent to perform Heyreach operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Heyreach MCP server, and what's possible with it?

The Heyreach MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Heyreach account. It provides structured and secure access to your outreach platform, so your agent can perform actions like managing campaigns, handling leads, creating lists, and automating webhooks on your behalf.

  • Campaign management and reporting: Retrieve and review all your active, scheduled, or past campaigns, enabling your agent to keep your outreach strategy organized and up to date.
  • Lead and list operations: Fetch all leads from any list, create new empty lists, and get a full overview of your audience segments—making bulk actions and lead tracking a breeze.
  • Webhook automation: Set up or delete webhooks programmatically, so your agent can automate notifications and integrate Heyreach data with other tools without manual effort.
  • LinkedIn account integration: Access and manage all connected LinkedIn accounts, streamlining multi-channel outreach and coordination directly from your AI assistant.
  • Company and data retrieval: Pull companies from specific lists and get detailed records, helping your agent power richer, more personalized engagement 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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Heyreach project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Heyreach.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Heyreach
const session = await composio.create(userId as string, {
  toolkits: ['heyreach'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only heyreach.
  • The router checks the user's Heyreach connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Heyreach.
  • This approach keeps things lightweight and lets the agent request Heyreach tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Heyreach. Help users perform Heyreach operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Heyreach and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Heyreach operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Heyreach.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Heyreach and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['heyreach'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Heyreach. Help users perform Heyreach operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\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

This was a starter code for integrating Heyreach MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Heyreach.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Add Leads To List V2

Tool to add leads to a lead list in HeyReach for LinkedIn campaigns.

Check API Key

Tool to check if the API key is valid.

Create Empty List

Tool to create an empty list.

Create Tags

Tool to create one or multiple tags for your workspace.

Create Webhook

Tool to create a new webhook.

Delete Webhook

Tool to delete an existing webhook.

Get All Campaigns

Tool to retrieve all campaigns.

Get All Leads

Tool to retrieve all leads in a HeyReach list.

Get All LinkedIn Accounts

Tool to retrieve all LinkedIn accounts.

Get All Lists

Tool to retrieve all lists.

Get All Webhooks

Tool to retrieve all webhooks.

Get Companies From List

Tool to get companies from a company list.

Get Conversations V2

Tool to retrieve paginated LinkedIn conversations with advanced filters.

Get Lead

Tool to retrieve detailed information for a lead by profile URL.

Get Lists For Lead

Tool to retrieve all lists that contain a specific lead by profile URL.

Get My Network for Sender

Tool to get the LinkedIn network for a specified sender account.

Get Overall Stats

Tool to get overall statistics for LinkedIn accounts and campaigns.

Get Webhook By ID

Tool to retrieve a webhook by its ID.

Update Webhook

Tool to update an existing webhook’s configuration.

FAQ

Frequently asked questions

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

Yes, you can. OpenAI Agents SDK 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 Heyreach tools.

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

Start with Heyreach.It takes 30 seconds.

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

Start building