How to Use the DigitalOcean MCP in AutoGen

Debate your DigitalOcean infrastructure changes with AutoGen multi-agent systems.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DigitalOcean MCP to AutoGen

Create your Vinkius account to connect DigitalOcean to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup DigitalOcean with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-based cloud management

Deploy agents that critique infrastructure plans. One agent queries `list_droplets` while another evaluates the security implications of those instances. They debate the configuration until they reach a decision. This prevents rushed changes to your production environment.

Automated resource auditing

Use a specialized auditor agent to watch for changes. It constantly calls `list_actions` and reports any unexpected activity to the team agents. They compare these findings against your baseline. If a discrepancy appears, the agents flag it for immediate human review.

Negotiated infrastructure provisioning

Let agents negotiate the right specs for new deployments. They look at `list_databases` and `list_kubernetes_clusters` to decide if you have room for more services. This prevents resource contention. The agents agree on the optimal configuration before taking any action.

Setup guide

Set up DigitalOcean MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes DigitalOcean tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="DigitalOcean_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent DigitalOcean data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="DigitalOcean_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent DigitalOcean data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DigitalOcean. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DigitalOcean now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DigitalOcean MCP in AutoGen

You pass the MCP tools to your agents. They then negotiate who calls which tool based on the task at hand.

They can. You define one agent as a validator and another as an executor. They debate the plan until it passes all checks.

Every interaction is logged in the conversation history. You can see which agent called the tool and what the other agents said about it.

It aggregates all available tools into one pool. The agents then choose the best tool from any connected server.

The server uses a single endpoint token. Only authorized agents in your conversation can trigger the tools.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the DigitalOcean MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started