Daytona (Dev Workspaces) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 28 tools to Activate Snapshot, Archive Sandbox, Create Api Key, and more

Name: Daytona (Dev Workspaces)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Daytona (Dev Workspaces) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Daytona (Dev Workspaces) MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 28 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Daytona (Dev Workspaces) Assistant",
            instructions=(
                "You help users interact with Daytona (Dev Workspaces). "
                "You have access to 28 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Daytona (Dev Workspaces)"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Daytona (Dev Workspaces) MCP Server

Connect your Daytona account to any AI agent to orchestrate cloud-based development environments through natural language. Daytona provides standardized, ephemeral sandboxes that can be provisioned and managed on demand.

The OpenAI Agents SDK auto-discovers all 28 tools from Daytona (Dev Workspaces) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Daytona (Dev Workspaces), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Sandbox Orchestration — List, create, start, stop, and delete sandboxes with specific CPU, memory, and disk configurations.
Snapshot Management — Create and manage snapshots to preserve environment states or activate them for new sandboxes using create_snapshot and activate_snapshot.
API Key Control — Manage your authentication keys directly, including listing and creating new access tokens via list_api_keys and create_api_key.
Resource Scaling — Dynamically resize sandbox resources (vCPU, RAM, Disk) to match your workload requirements using resize_sandbox.
Volume & Storage — Inspect and manage persistent volumes and snapshots for your dev environments.

The Daytona (Dev Workspaces) MCP Server exposes 28 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 28 Daytona (Dev Workspaces) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Daytona (Dev Workspaces) through Vinkius, your AI agent gets direct access to every tool listed below — spanning sandboxes, dev-environments, workspace-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

activate

Recover a sandbox from an error state

resize

Resize sandbox on Daytona (Dev Workspaces)

Resize sandbox resources

start

Start sandbox on Daytona (Dev Workspaces)

Start a stopped sandbox

stop

Stop sandbox on Daytona (Dev Workspaces)

Stop a running sandbox

Connect Daytona (Dev Workspaces) to OpenAI Agents SDK via MCP

Follow these steps to wire Daytona (Dev Workspaces) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 28 tools from Daytona (Dev Workspaces)

Why Use OpenAI Agents SDK with the Daytona (Dev Workspaces) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Daytona (Dev Workspaces) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Daytona (Dev Workspaces) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Daytona (Dev Workspaces) MCP Server delivers measurable value.

Automated workflows: build agents that query Daytona (Dev Workspaces), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Daytona (Dev Workspaces), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Daytona (Dev Workspaces) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Daytona (Dev Workspaces) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Daytona (Dev Workspaces) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Daytona (Dev Workspaces) immediately.

"List all my current Daytona sandboxes."

"Create a new sandbox with 2 CPUs and 4GB of RAM using the node:20 image."

"Stop the sandbox named 'dev-environment-1'."

Troubleshooting Daytona (Dev Workspaces) MCP Server with OpenAI Agents SDK

Common issues when connecting Daytona (Dev Workspaces) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Daytona (Dev Workspaces) + OpenAI Agents SDK FAQ

Common questions about integrating Daytona (Dev Workspaces) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.