# How to integrate Heyreach MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Heyreach MCP with OpenAI Agents SDK",
  "toolkit": "Heyreach",
  "toolkit_slug": "heyreach",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/heyreach/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/heyreach/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:14:55.066Z"
}
```

## 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

- [Claude Agent SDK](https://composio.dev/toolkits/heyreach/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/heyreach/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/heyreach/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/heyreach/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/heyreach/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/heyreach/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/heyreach/framework/cli)
- [Google ADK](https://composio.dev/toolkits/heyreach/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/heyreach/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/heyreach/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/heyreach/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/heyreach/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/heyreach/framework/crew-ai)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HEYREACH_ADD_LEADS_TO_LIST_V2` | Add Leads To List V2 | Tool to add leads to a lead list in HeyReach for LinkedIn campaigns. Accepts up to 100 leads per request and returns counts of added, updated, and failed leads. |
| `HEYREACH_CHECK_API_KEY` | Check API Key | Tool to check if the API key is valid. Use before making other API calls to confirm authentication. |
| `HEYREACH_CREATE_EMPTY_LIST` | Create Empty List | Tool to create an empty list. Use after deciding on the list name and type. |
| `HEYREACH_CREATE_TAGS` | Create Tags | Tool to create one or multiple tags for your workspace. Use when you need to organize leads with custom labels. |
| `HEYREACH_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook. Use when you need programmatic callbacks for HeyReach events after confirming a valid API key. |
| `HEYREACH_DELETE_WEBHOOK` | Delete Webhook | Tool to delete an existing webhook. Use when you need to remove callbacks for outdated or unwanted webhooks. |
| `HEYREACH_GET_ALL_CAMPAIGNS` | Get All Campaigns | Tool to retrieve all campaigns. Use when you need a paginated list of campaigns for management or reporting. |
| `HEYREACH_GET_ALL_LEADS` | Get All Leads | Tool to retrieve all leads in a HeyReach list. Use when you need paginated collection of leads after confirming a valid API key. |
| `HEYREACH_GET_ALL_LINKEDIN_ACCOUNTS` | Get All LinkedIn Accounts | Tool to retrieve all LinkedIn accounts. Use when you need a paginated list of LinkedIn accounts after confirming a valid API key. |
| `HEYREACH_GET_ALL_LISTS` | Get All Lists | Tool to retrieve all lists. Use when you need a paginated list of lists after confirming a valid API key. |
| `HEYREACH_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all webhooks. Use when you need a paginated collection of webhooks after confirming a valid API key. |
| `HEYREACH_GET_COMPANIES_FROM_LIST` | Get Companies From List | Tool to get companies from a company list. Use when you need a paginated list of companies after specifying a list ID. |
| `HEYREACH_GET_CONVERSATIONS_V2` | Get Conversations V2 | Tool to retrieve paginated LinkedIn conversations with advanced filters. Use when you need to fetch inbox conversations filtered by lead or profile details. |
| `HEYREACH_GET_LEAD` | Get Lead | Tool to retrieve detailed information for a lead by profile URL. Use after obtaining the exact LinkedIn profile URL to fetch full lead details. |
| `HEYREACH_GET_LISTS_FOR_LEAD` | Get Lists For Lead | Tool to retrieve all lists that contain a specific lead by profile URL. Use when you need to find which lists a lead belongs to. |
| `HEYREACH_GET_MY_NETWORK_FOR_SENDER` | Get My Network for Sender | Tool to get the LinkedIn network for a specified sender account. Use when you need to retrieve paginated connections for a sender. |
| `HEYREACH_GET_OVERALL_STATS` | Get Overall Stats | Tool to get overall statistics for LinkedIn accounts and campaigns. Use when you need performance metrics including connection requests, messages, replies, and engagement rates for specified date ranges. |
| `HEYREACH_GET_WEBHOOK_BY_ID` | Get Webhook By ID | Tool to retrieve a webhook by its ID. Use when you need detailed configuration of a specific webhook after listing or creating it. |
| `HEYREACH_UPDATE_WEBHOOK` | Update Webhook | Tool to update an existing webhook’s configuration. Use when you need to modify a webhook's name, URL, event type, campaigns, or activation status after confirming the webhookId. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Heyreach MCP server is an implementation of the Model Context Protocol that connects your AI agent to Heyreach. It provides structured and secure access so your agent can perform Heyreach 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Heyreach project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

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

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
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';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
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(),
});
```

### 6. Create a Tool Router session

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.
```python
# Create a Heyreach Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["heyreach"]
)

mcp_url = session.mcp.url
```

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

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// 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',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// 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);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["heyreach"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = 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(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
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.

## How to build Heyreach MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/heyreach/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/heyreach/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/heyreach/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/heyreach/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/heyreach/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/heyreach/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/heyreach/framework/cli)
- [Google ADK](https://composio.dev/toolkits/heyreach/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/heyreach/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/heyreach/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/heyreach/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/heyreach/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/heyreach/framework/crew-ai)

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- [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.
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- [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 Heyreach MCP?

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.

### Can I use Tool Router MCP with OpenAI Agents SDK?

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.

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

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.

### 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 Heyreach data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
