How to Use the Deta Space (Serverless Personal Cloud API) MCP in OpenAI Agents SDK

Q: How do I connect the Deta Space (Serverless Personal Cloud API) server to my OpenAI Agents SDK agent?

You'll instantiate MCPServerStreamableHttp with your Vinkius endpoint URL. Then, you pass that server instance into the mcpservers list when you create your agent. The tools are discovered automatically.

Q: What's the best way to add multiple items to Deta Base with the OpenAI Agents SDK and the Deta Space (Serverless Personal Cloud API)?

Use the baseputitems tool. Your agent needs to construct a string containing a JSON array of the items you want to add. It's a single API call, making it much more efficient than adding items one by one.

Build production agents with the OpenAI Agents SDK to manage your personal Deta Space data and files.

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Connect Deta Space (Serverless Personal Cloud API) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Deta Space (Serverless Personal Cloud API) to OpenAI Agents SDK 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 Deta Space (Serverless Personal Cloud API) with OpenAI Agents SDK

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Manage Deta Base Items

Your agent can now manage a personal database. It uses tools like `base_put_items` to add records or `base_update_item` to change them. This isn't just a fire-and-forget command; the SDK’s built-in guardrails give you a chance to validate what the agent wants to do before it touches your data. You get full visibility. Every database operation your agent performs is logged in your OpenAI tracing dashboard. This means you have a complete audit trail for every item created or modified in your Deta Base, which is critical when you move from prototype to production.

Work with Files in Deta Drive

Give your agent a personal file cabinet. It can use `drive_upload_file` to save generated reports, images, or any other artifact. When it needs that file back, it just calls `drive_download_file`. It’s a straightforward way to give your agent state that persists between sessions. Because this runs through the OpenAI Agents SDK, you can trace every file operation. You'll know exactly which agent in a multi-agent system uploaded a file and which one downloaded it later. This is how you debug complex agent interactions without guessing.

Run Queries with your OpenAI Agents SDK Agent

Find what you need in your Deta Base. The `base_query_items` tool lets your agent search for specific records using JSON-based queries. Your agent can construct these queries on the fly based on your conversation. This is where specialized agents shine. One agent can be responsible for finding relevant data with `base_query_items`, then hand it off to another agent that uses `base_delete_item` to perform cleanup tasks. The SDK manages the handoff, so your agents just focus on their jobs.

Setup guide

Set up Deta Space (Serverless Personal Cloud API) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Deta Space (Serverless Personal Cloud API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Deta Space (Serverless Personal Cloud API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Deta Space (Serverless Personal Cloud API) tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Deta Space (Serverless Personal Cloud API) Agent",
            instructions="You have access to Deta Space (Serverless Personal Cloud API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Deta Space (Serverless Personal Cloud API) MCP in OpenAI Agents SDK

You'll instantiate `MCPServerStreamableHttp` with your Vinkius endpoint URL. Then, you pass that server instance into the `mcp_servers` list when you create your agent. The tools are discovered automatically.

The SDK automatically discovers all available tools on the MCP server. You control which tools the agent uses through your instructions and by implementing custom guardrails to approve or deny specific operations before they run.

Use the `base_put_items` tool. Your agent needs to construct a string containing a JSON array of the items you want to add. It's a single API call, making it much more efficient than adding items one by one.

Yes. The MCP server doesn't care which model you use. The OpenAI Agents SDK handles the model interaction, and the server just provides the tools for the model to call.

This server processes your Deta Base items and Deta Drive files. Each tool call runs inside a Vinkius V8 Isolate Sandbox, which is destroyed after your request finishes. The SDK's guardrails add another layer, letting you inspect the planned operation and its data before it's even sent to the server.

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