How to integrate DeployHQ MCP with Autogen

This guide walks you through connecting DeployHQ to AutoGen using the Composio tool router. By the end, you'll have a working DeployHQ agent that can trigger a deployment for project x, list all deployments for project y, get status of last deployment through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a DeployHQ account through Composio's DeployHQ MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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DeployHQ

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DeployHQ is a deployment automation service for Git, SVN, and Mercurial projects. It streamlines code deployments, making project launches seamless and reliable.

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Introduction

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

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

Also integrate DeployHQ with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 DeployHQ
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call DeployHQ tools
Run a live chat loop where you ask the agent to perform DeployHQ 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 DeployHQ MCP server, and what's possible with it?

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

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A DeployHQ account you can connect to Composio
Some basic familiarity with Autogen and Python async

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

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to DeployHQ via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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 DeployHQ connections to use

Import dependencies and create Tool Router session

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 DeployHQ session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["deployhq"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes DeployHQ tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

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")}
)

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

Create the model client and agent

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 DeployHQ assistant agent with MCP tools
    agent = AssistantAgent(
        name="deployhq_assistant",
        description="An AI assistant that helps with DeployHQ operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the DeployHQ tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any DeployHQ 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")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which DeployHQ 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

Complete Code

Here's the complete code to get you started with DeployHQ and AutoGen:

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 DeployHQ session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["deployhq"]
    )
    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 DeployHQ assistant agent with MCP tools
        agent = AssistantAgent(
            name="deployhq_assistant",
            description="An AI assistant that helps with DeployHQ 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 DeployHQ 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 DeployHQ 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 DeployHQ, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Delete Command

Tool to delete a command from a specified project.

Delete Project

Tool to delete a project from DeployHQ.

Delete Build Cache File

Tool to delete an existing build cache file from a project.

Delete Excluded File Rule

Tool to delete an existing excluded file rule from a project.

Delete Server Group

Tool to delete a server group from a project using the DeployHQ API.

Delete Template

Tool to delete a template by its unique permalink.

Get Projects

Tool to retrieve all projects from DeployHQ account.

Get Project

Tool to view an existing project in DeployHQ.

Get Project Build Known Hosts

Tool to list all known hosts within a project using DeployHQ API.

Get Project Commands

Tool to retrieve all SSH commands configured for a project.

Get Project Config Files

Tool to retrieve a list of all config files in a DeployHQ project.

Get Project Deployments

Tool to retrieve a paginated list of all deployments in a project.

Get Project Excluded Files

Tool to list all excluded files within a project template.

Get Config File

Tool to view a specific config file in a DeployHQ project.

Get Excluded File

Tool to view a specific excluded file in a DeployHQ project.

Get Server Group

Tool to view a specific server group in a DeployHQ project.

Get Project Repository

Tool to view repository details for a specific project in DeployHQ.

Get Repository Branches

Tool to view all available branches in the connected repository for a project.

Get Repository Commit Info

Tool to view detailed information about a specific revision in a project's connected repository.

Get Latest Repository Revision

Tool to view the latest remote revision of your repository.

Get Recent Commits and Tags

Tool to view up to 15 most recent revisions and up to 15 most recent tags in a specific branch.

Get Project Scheduled Deployments

Tool to retrieve all upcoming scheduled deployments for a project.

Get Project Server Groups

Tool to retrieve all server groups configured for a project.

Get Project Servers

Tool to retrieve all servers configured for a project.

Get Templates

Tool to retrieve all templates from DeployHQ account.

Get Public Template

Tool to retrieve a specific public template from DeployHQ.

Get Public Templates

Tool to retrieve publicly available deployment templates from DeployHQ.

Update Project

Tool to update project settings in DeployHQ.

Update Build Cache File

Tool to update an existing build cache file in a project.

Update Build Command

Tool to update an existing build command in a project.

Update Language Version

Tool to update the version of a language in a project's build environment.

Update Project Command

Tool to update an existing SSH command in a project.

Update Config File

Tool to update an existing config file in a DeployHQ project.

Update Excluded File

Tool to update an existing excluded file rule in a project.

Update Project Repository

Tool to update repository configuration for a project in DeployHQ.

Update Server Group

Tool to update an existing server group in a DeployHQ project.

Update Template

Tool to update an existing template in DeployHQ.

Create Project

Tool to create a new project in DeployHQ.

Generate AI Deployment Overview

Tool to generate an AI-powered deployment overview for a revision range.

Create Build Cache File

Tool to create a new build cached file within a project.

Create Build Command

Tool to create a new build command for a project in DeployHQ.

Create Project Build Known Host

Tool to create a new known host in a project using DeployHQ API.

Create SSH Command

Tool to create a new SSH command for a project in DeployHQ.

Create Config File

Tool to create a new config file in a DeployHQ project.

Create Config File Deployment

Tool to create a new config file deployment for a project.

Create Excluded File

Tool to add a new excluded file to a project.

Abort Deployment

Tool to abort a currently running deployment.

Add Project Repository

Tool to add repository details to a project in DeployHQ.

Create Server Group

Tool to create a new server group for automated deployments in a DeployHQ project.

Create Server

Tool to create a new server configuration in a DeployHQ project.

Create Template

Tool to create a new template in DeployHQ.

Update Project Settings

Tool to update settings of an existing DeployHQ project.

Edit Build Cache File

Tool to edit an existing build cache file within a project.

Edit Build Command

Tool to edit an existing build command within a template in DeployHQ.

Edit SSH Command

Tool to edit an existing SSH command in a DeployHQ project.

Edit Config File

Tool to edit an existing config file within a project.

Edit Excluded File

Tool to edit an existing excluded file rule within a project.

Update Excluded File

Tool to update an existing excluded file rule in a project.

Update Project Repository

Tool to update repository details for an existing project in DeployHQ.

Update Server Group

Tool to update a server group in a DeployHQ project using the API.

Edit Template

Tool to edit an existing template in DeployHQ.

FRAMEWORKS

How to build DeployHQ MCP Agent with another framework

OpenAI Agents SDK

Use DeployHQ MCP with OpenAI Agents SDK

Claude Agent SDK

Use DeployHQ MCP with Claude Agent SDK

Claude Code

Use DeployHQ MCP with Claude Code

Claude Cowork

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Codex

Use DeployHQ MCP with Codex

OpenClaw

Use DeployHQ MCP with OpenClaw

Hermes

Use DeployHQ MCP with Hermes

CLI

Use DeployHQ MCP with CLI

Google ADK

Use DeployHQ MCP with Google ADK

LangChain

Use DeployHQ MCP with LangChain

Vercel AI SDK

Use DeployHQ MCP with Vercel AI SDK

Mastra AI

Use DeployHQ MCP with Mastra AI

LlamaIndex

Use DeployHQ MCP with LlamaIndex

CrewAI

Use DeployHQ MCP with CrewAI

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GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.

Ably

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FAQ

Frequently asked questions

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

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 DeployHQ tools.

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

Start with DeployHQ.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate DeployHQ MCP with Autogen

Connect DeployHQ without auth hassles

Introduction

Also integrate DeployHQ with

TL;DR

What is AutoGen?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build DeployHQ MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

Ably

Frequently asked questions

What are the differences in Tool Router MCP and DeployHQ MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with DeployHQ.It takes 30 seconds.

Teams ship real agents on Composio