How to integrate Digital ocean MCP with CrewAI

This guide walks you through connecting Digital ocean to CrewAI 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 CrewAI 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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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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Introduction

This guide walks you through connecting Digital ocean to CrewAI 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 CrewAI 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

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Digital ocean connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Digital ocean
  • Build a conversational loop where your agent can execute Digital ocean operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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:

  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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Digital ocean connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Digital ocean via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Digital ocean MCP URL
6

Create a Composio Tool Router session for Digital ocean

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["digital_ocean"])

url = session.mcp.url
What's happening:
  • You create a Digital ocean only session through Composio
  • Composio returns an MCP HTTP URL that exposes Digital ocean tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Digital ocean and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["digital_ocean"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Digital ocean through Composio's Tool Router. The agent can perform Digital ocean operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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 logo

ChatGPT

Use Digital ocean MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Digital ocean MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Digital ocean MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Digital ocean MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Digital ocean MCP with Claude Cowork

Codex logo

Codex

Use Digital ocean MCP with Codex

Cursor logo

Cursor

Use Digital ocean MCP with Cursor

OpenClaw logo

OpenClaw

Use Digital ocean MCP with OpenClaw

Hermes logo

Hermes

Use Digital ocean MCP with Hermes

CLI logo

CLI

Use Digital ocean MCP with CLI

Google ADK logo

Google ADK

Use Digital ocean MCP with Google ADK

LangChain logo

LangChain

Use Digital ocean MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Digital ocean MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Digital ocean MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Digital ocean MCP with LlamaIndex

OpenCode logo

OpenCode

Use Digital ocean MCP with OpenCode

VS Code logo

VS Code

Use Digital ocean MCP with VS Code

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. CrewAI 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.

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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.

Abhi Arya
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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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
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
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.

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Co-Founder, Ingram Technologies