# How to integrate Heyreach MCP with Autogen

```json
{
  "title": "How to integrate Heyreach MCP with Autogen",
  "toolkit": "Heyreach",
  "toolkit_slug": "heyreach",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/heyreach/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/heyreach/framework/autogen.md",
  "updated_at": "2026-05-12T10:14:55.066Z"
}
```

## Introduction

This guide walks you through connecting Heyreach to AutoGen 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 AutoGen 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/heyreach/framework/open-ai-agents-sdk)
- [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 required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Heyreach
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Heyreach tools
- Run a live chat loop where you ask the agent to perform Heyreach operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Heyreach. Instead of manually wiring Heyreach APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Heyreach account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Heyreach via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Heyreach connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Heyreach tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Heyreach session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["heyreach"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Heyreach tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Heyreach assistant agent with MCP tools
    agent = AssistantAgent(
        name="heyreach_assistant",
        description="An AI assistant that helps with Heyreach operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Heyreach tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Heyreach related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

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

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Heyreach session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["heyreach"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Heyreach assistant agent with MCP tools
        agent = AssistantAgent(
            name="heyreach_assistant",
            description="An AI assistant that helps with Heyreach operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Heyreach related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Heyreach through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Heyreach, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Heyreach MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/heyreach/framework/open-ai-agents-sdk)
- [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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- [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.
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## 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 Autogen?

Yes, you can. Autogen 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)
