How to Use the Daytona (Dev Workspaces) MCP in AutoGen

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Connect Daytona (Dev Workspaces) MCP to AutoGen

Create your Vinkius account to connect Daytona (Dev Workspaces) 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.

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Setup Daytona (Dev Workspaces) with AutoGen

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Multi-agent control of Daytona (Dev Workspaces)

Assign one agent to monitor resource limits while another handles `create_sandbox` requests. They negotiate the best way to deploy your code based on available volumes. This prevents your system from spinning up redundant environments. The agents check `list_sandboxes` and reach a consensus before taking any action.

Debate infrastructure changes

Configure a security agent to challenge `delete_sandbox` commands. If the environment contains critical data, the agent forces a review before the deletion proceeds. This adds a layer of human-like caution to your automated workflows. It ensures that critical infrastructure isn't wiped out by a single misguided command.

Negotiate sandbox configurations

Use a performance-focused agent to suggest resource changes via `resize_sandbox` during a heated technical discussion. The agents weigh the cost against the need for speed. They converge on a final setup that satisfies your requirements. You get the benefit of multiple perspectives managing your dev environments.

Setup guide

Set up Daytona (Dev Workspaces) 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 Daytona (Dev Workspaces) 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="Daytona (Dev Workspaces)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Daytona (Dev Workspaces) 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="Daytona (Dev Workspaces)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Daytona (Dev Workspaces) 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 Daytona. 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.

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Common questions about Daytona (Dev Workspaces) MCP in AutoGen

Yes. You can set up a system of agents that talk through the requirements for each sandbox before they execute the creation tools.

They pass the results of tool calls through their chat history. Every agent in the group sees the current environment status to inform their decisions.

The adapter handles the schema conversion for you. You just provide the Vinkius URL and pass the tools to your assistant agents.

The conversation continues until they reach a consensus. You can intervene at any point to resolve the debate yourself if needed.

Your token is encrypted in the Vinkius sandbox layer. Agents only interact with the environment via the tool interface you grant them.

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