How to Use the Dastra MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK manage my Dastra ROPA records?

Yes, your agent can call listprocessings to pull your current record of processing activities. It then formats that data into whatever structure your downstream code requires.

Q: Does Dastra work with OpenAI Agents SDK tool caches?

Setting cacheToolsList=True in your configuration works perfectly with this MCP server. It speeds up agent initialization by storing the tool definitions locally.

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Connect Dastra MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dastra 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 Dastra with OpenAI Agents SDK

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Automated DSR tracking in OpenAI Agents SDK

Your agent handles data subject requests without leaving your Python environment. Call `create_dsr` to log requests as they arrive, then pull details using `get_dsr` to verify request status. Updating records happens instantly with `update_dsr`. Your agents keep the audit trail current while you focus on building the system logic.

Monitor breach activity with this MCP server

Your agent triggers `create_breach` the moment an anomaly hits your logs. This keeps your response time down by creating records before you even open the dashboard. Use `list_breaches` to have your agent summarize recent incidents. It turns raw log data into actionable reports for your security team.

Map your data landscape inside your agent

Your agent queries `list_datasets` and `list_processings` to understand exactly where PII resides. It maps out your ROPA automatically based on your live infrastructure. Cross-reference this with `list_workspaces` and `list_tags`. You get a clear view of your privacy posture without manual data entry.

Setup guide

Set up Dastra 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 Dastra tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Dastra tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dastra 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="Dastra Agent",
            instructions="You have access to Dastra 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 Dastra MCP in OpenAI Agents SDK

Vinkius handles the transport layer encryption for your Dastra connection. Your OpenAI Agents SDK pipeline only sees the data returned by the tools you explicitly permit.

Yes, your agent can call `list_processings` to pull your current record of processing activities. It then formats that data into whatever structure your downstream code requires.

Setting `cacheToolsList=True` in your configuration works perfectly with this MCP server. It speeds up agent initialization by storing the tool definitions locally.

The server only exposes the specific tools you call. Your agent never sees raw PII unless you explicitly pass it from the tool output into your prompt context.

Data like email addresses and names remains encrypted at rest within the Dastra backend. Your agent only receives the specific fields needed to fulfill the request workflow.

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