How to integrate Hostinger MCP with Autogen

This guide walks you through connecting Hostinger to AutoGen using the Composio tool router. By the end, you'll have a working Hostinger agent that can list all hostinger domain renewals, update dns records for production site, check vps status and resource usage through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Hostinger account through Composio's Hostinger MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Hostinger is a web hosting and domain management platform for websites, DNS, domains, billing, and VPS infrastructure. It helps teams manage hosting operations from one place with simple tools and reliable APIs.

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Introduction

This guide walks you through connecting Hostinger to AutoGen using the Composio tool router. By the end, you'll have a working Hostinger agent that can list all hostinger domain renewals, update dns records for production site, check vps status and resource usage through natural language commands.

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

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

Also integrate Hostinger with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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

The Hostinger MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hostinger account. It provides structured and secure access to your domains, DNS records, hosting services, billing details, and virtual machines, so your agent can check domain availability, review DNS settings, list websites, inspect subscriptions, and monitor hosting resources on your behalf.

  • Domain search and review: Have your agent check whether a domain is available and list the domains already associated with your Hostinger account.
  • DNS record inspection: Instruct your agent to retrieve the DNS records for a domain when you need to review its current configuration.
  • Website and hosting overview: Let the agent list your websites and hosting orders so you can quickly see what you operate through Hostinger.
  • Subscriptions and billing review: Direct your agent to list active subscriptions, available payment methods, and catalog items when reviewing services and costs.
  • Virtual machine and key inventory: Have your agent list your virtual machines and public keys to help you review your VPS resources and access setup.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Hostinger account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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
  • 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.
3

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 Hostinger via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Hostinger connections to use
5

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 Hostinger session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hostinger"]
    )
    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 Hostinger tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Hostinger assistant agent with MCP tools
    agent = AssistantAgent(
        name="hostinger_assistant",
        description="An AI assistant that helps with Hostinger 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 Hostinger tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Hostinger 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 Hostinger 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 Hostinger 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 Hostinger session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hostinger"]
    )
    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 Hostinger assistant agent with MCP tools
        agent = AssistantAgent(
            name="hostinger_assistant",
            description="An AI assistant that helps with Hostinger 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 Hostinger 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 Hostinger 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 Hostinger, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Check Domain Availability

Check domain availability.

Create VPS Public Key

Create public key.

Create WHOIS Profile

Create a WHOIS contact profile for domain registration.

Delete Public Key

Delete public key.

Generate Free Subdomain

Generate a free subdomain.

Get DNS Records

Tool to retrieve DNS records for a domain.

Get Domain Forwarding

Tool to retrieve domain forwarding configuration.

Get VPS Template Details

Get template details.

Get WHOIS Profile

Get WHOIS profile.

Get WHOIS Profile Usage

Tool to retrieve domain list where provided WHOIS contact profile is used.

List Catalog Items

Get catalog item list.

List VPS Data Centers

Get data center list.

List DNS Snapshots

Tool to retrieve DNS snapshots for a domain.

List Domains

Get domain list.

List Hosting Orders

Tool to list hosting orders.

List Payment Methods

Get payment method list.

List Public Keys

Get public keys.

List Subscriptions

Get subscription list.

List VPS Templates

Get templates.

List Virtual Machines

Get virtual machines.

List Websites

List websites.

List WHOIS Profiles

Retrieve WHOIS contact profiles for domain registration.

Validate DNS Records

Validate DNS records.

Verify Domain Ownership

Verify ownership of a single domain and return the verification status.

FRAMEWORKS

How to build Hostinger MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Hostinger MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Hostinger MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Hostinger MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Hostinger MCP with Claude Cowork

Codex logo

Codex

Use Hostinger MCP with Codex

OpenClaw logo

OpenClaw

Use Hostinger MCP with OpenClaw

Hermes logo

Hermes

Use Hostinger MCP with Hermes

CLI logo

CLI

Use Hostinger MCP with CLI

Google ADK logo

Google ADK

Use Hostinger MCP with Google ADK

LangChain logo

LangChain

Use Hostinger MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Hostinger MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Hostinger MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Hostinger MCP with LlamaIndex

CrewAI logo

CrewAI

Use Hostinger MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Hostinger MCP server, the agents and LLMs can only access a fixed set of Hostinger tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Hostinger 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 Hostinger tools.

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

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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
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.

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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.

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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.

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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.

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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.

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Co-Founder, Ingram Technologies