How to integrate Digital ocean MCP with Pydantic AI

This guide walks you through connecting Digital ocean to Pydantic AI 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 Pydantic AI 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.

48 Tools

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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 Pydantic AI 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:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Digital ocean
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Digital ocean workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

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 step09 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account with an active API key
Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Digital ocean
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Digital ocean
MCPServerStreamableHTTP connects to the Digital ocean MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Digital ocean
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["digital_ocean"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Digital ocean tools
The create method takes the user ID and specifies which toolkits should be available
The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
digital_ocean_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[digital_ocean_mcp],
    instructions=(
        "You are a Digital ocean assistant. Use Digital ocean tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Digital ocean endpoint
The agent uses GPT-5 to interpret user commands and perform Digital ocean operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Digital ocean.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Digital ocean API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

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

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Digital ocean
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["digital_ocean"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    digital_ocean_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[digital_ocean_mcp],
        instructions=(
            "You are a Digital ocean assistant. Use Digital ocean tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Digital ocean.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Digital ocean through Composio's Tool Router. With this setup, your agent can perform real Digital ocean actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Digital ocean for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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. Pydantic AI 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 Pydantic AI

Connect Digital ocean without auth hassles

Introduction

Also integrate Digital ocean with

TL;DR

What is Pydantic AI?

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

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

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 Pydantic AI?+

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