How to integrate Digital ocean MCP with Autogen

This guide walks you through connecting Digital ocean to AutoGen using the Composio tool router. By the end, you'll have a working Digital ocean agent that can spin up a droplet for staging environment, provision a new postgresql database cluster, create a dns a record for your domain through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Digital ocean account through Composio's Digital ocean MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Digital ocean

Api KeyOauth2

DigitalOcean is a cloud platform for deploying, managing, and scaling infrastructure. Its simplicity and developer-friendly tools let you launch projects quickly and manage resources effortlessly.

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Connect Digital ocean without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

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Introduction

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

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

Also integrate Digital ocean with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code 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 Digital ocean
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Digital ocean tools
Run a live chat loop where you ask the agent to perform Digital ocean 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 Digital ocean MCP server, and what's possible with it?

The Digital ocean MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your DigitalOcean account. It provides structured and secure access to your cloud infrastructure, so your agent can perform actions like creating droplets, managing domains and DNS, provisioning databases, and organizing resources on your behalf.

Automated droplet provisioning: Instantly spin up new virtual machines (droplets) by specifying name, region, size, and image to quickly scale your infrastructure.
Database and block storage management: Have your agent create managed database clusters or persistent block storage volumes with custom configurations for seamless backend scaling.
Domain and DNS record automation: Simplify domain setup and DNS management by letting your agent create new domains and add or update DNS records as needed.
Kubernetes and firewall setup: Easily deploy Kubernetes clusters and configure firewalls by defining rules, regions, and node pools—without manual dashboard work.
SSH key and resource tagging: Register new SSH keys for secure access or organize your infrastructure with custom tags, making resource management effortless and consistent.

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

TOOLS

Supported Tools

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

Create Custom Image

Creates a custom image in DigitalOcean by importing a Linux VM disk image from a publicly accessible URL.

Create Database Cluster

Creates a new managed database cluster on DigitalOcean.

Create New Block Storage Volume

Tool to create a new block storage volume.

Create New Domain

Creates a new domain in DigitalOcean's DNS management system.

Create Domain Record

Tool to create a new DNS record for a domain.

Create New Droplet

Tool to create a new Droplet.

Create New Firewall

Creates a new cloud firewall with custom inbound and outbound rules.

Create New Kubernetes Cluster

Creates a new DigitalOcean Kubernetes (DOKS) cluster with managed control plane.

Create New Load Balancer

Tool to create a new load balancer.

Create New SSH Key

Registers a new SSH public key with your DigitalOcean account.

Create New Tag

Creates a new tag in DigitalOcean for organizing and grouping resources.

Create New VPC

Creates a new Virtual Private Cloud (VPC) in a specified DigitalOcean region.

Delete Block Storage Volume

Permanently deletes a block storage volume by its unique ID.

Delete Database Cluster

Tool to delete a database cluster by UUID.

Delete Domain

Deletes a domain from DigitalOcean DNS.

Delete Domain Record

Tool to delete a DNS record by its record ID for a domain.

Delete Existing Droplet

Tool to delete a Droplet by ID.

Delete Firewall

Tool to delete a firewall by ID.

Delete Image

Deletes a user-created custom image or snapshot from your DigitalOcean account by its numeric ID.

Delete Load Balancer

Tool to delete a load balancer instance by ID.

Delete SSH Key

Tool to delete a public SSH key.

Delete Tag

Deletes a tag from your DigitalOcean account.

Delete VPC

Delete a VPC (Virtual Private Cloud) by its unique identifier.

List All Databases

Tool to list all managed database clusters on your account.

List All Domains

Lists all DNS domains configured in your DigitalOcean account.

List All Droplets

Lists all Droplets (virtual machines) in your DigitalOcean account with pagination support.

List All Firewalls

List all cloud firewalls configured in your DigitalOcean account.

List All Images

Tool to list all images available on your account.

List All Kubernetes Clusters

Tool to list all Kubernetes clusters on your account.

List All Load Balancers

List all load balancers in your DigitalOcean account with pagination support.

List All Snapshots

Tool to list all snapshots available on your DigitalOcean account.

List All SSH Keys

Lists all SSH keys associated with your DigitalOcean account.

List All Tags

Tool to list all tags in your account.

List All Volumes

Tool to list all block storage volumes available on your account.

List All VPCs

Tool to list all VPCs on your account.

List Apps

Tool to list all App Platform apps in your DigitalOcean account.

List Database Options

Lists all available configuration options for DigitalOcean managed database clusters, including supported engines (PostgreSQL, MySQL, MongoDB, Valkey, Kafka, OpenSearch), versions, regions, and cluster sizes/layouts.

List Domain Records

Tool to list all DNS records for a domain.

Retrieve Domain

Retrieves complete details about a specific domain including its TTL and DNS zone file configuration.

Retrieve Domain Record

Tool to retrieve a specific DNS record for a domain by its record ID.

Retrieve Existing Droplet

Retrieve detailed information about a specific DigitalOcean Droplet by its unique numeric ID.

Retrieve Existing Image

Tool to retrieve information about an image by ID or slug.

Retrieve Tag

Tool to retrieve an individual tag by name.

Retrieve VPC

Tool to retrieve details about a specific VPC by its ID.

Tag Resource

Tool to tag resources by name.

Untag Resource

Tool to untag resources by tag name.

Update Domain Record

Tool to update an existing DNS record for a domain.

Update VPC

Tool to update information about a VPC.

FRAMEWORKS

How to build Digital ocean MCP Agent with another framework

ChatGPT

Use Digital ocean MCP with ChatGPT

OpenAI Agents SDK

Use Digital ocean MCP with OpenAI Agents SDK

Claude Agent SDK

Use Digital ocean MCP with Claude Agent SDK

Claude Code

Use Digital ocean MCP with Claude Code

Claude Cowork

Use Digital ocean MCP with Claude Cowork

Codex

Use Digital ocean MCP with Codex

Cursor

Use Digital ocean MCP with Cursor

OpenClaw

Use Digital ocean MCP with OpenClaw

Hermes

Use Digital ocean MCP with Hermes

CLI

Use Digital ocean MCP with CLI

Google ADK

Use Digital ocean MCP with Google ADK

LangChain

Use Digital ocean MCP with LangChain

Vercel AI SDK

Use Digital ocean MCP with Vercel AI SDK

Mastra AI

Use Digital ocean MCP with Mastra AI

LlamaIndex

Use Digital ocean MCP with LlamaIndex

CrewAI

Use Digital ocean MCP with CrewAI

OpenCode

Use Digital ocean MCP with OpenCode

VS Code

Use Digital ocean MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Supabase

Oauth2Api Key

Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.

Codeinterpreter

No Auth

Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.

GitHub

Oauth2

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

Api Key

Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.

FAQ

Frequently asked questions

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

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

Start with Digital ocean.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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 Digital ocean MCP with Autogen

Connect Digital ocean without auth hassles

Introduction

Also integrate Digital ocean with

TL;DR

What is AutoGen?

What is the Digital ocean 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 Digital ocean MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

Ably

Frequently asked questions

What are the differences in Tool Router MCP and Digital ocean MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Digital ocean.It takes 30 seconds.

Teams ship real agents on Composio