How to Use the Structured MCP in OpenAI Agents SDK

Q: How do I list all structured plans using OpenAI Agents SDK?

You call the listplans tool. This immediately gives you an array of every plan available in Structured, letting your agent build a clear map of available projects.

Q: Can my agent update task details with openai-agents-sdk?

Yep. The updatetask tool lets your agent change any existing field on a task—like changing the deadline or adding notes—without having to delete and recreate it.

Q: Which tools should I use with Structured when building a production agent?

For maximum reliability, start by listing all plans using listplans to establish scope. Then, confirm the user context first via getuserprofile. That sequence keeps your process clean.

Use OpenAI Agents SDK to manage Structured tasks and plans safely, without writing boilerplate code.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Structured MCP to OpenAI Agents SDK

Create your Vinkius account to connect Structured to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Structured with OpenAI Agents SDK

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Build Tasks with Guardrails

Your agent can build a new task by calling `create_task`. The built-in guardrails validate the input before execution, so you never risk assigning an incomplete or malformed task. This means your system runs reliably on every call. You don't have to worry about bad data corrupting your plan. If the agent tries something off-script, it fails safely. You get a clear error back through the OpenAI dashboard for quick fixes.

List and Retrieve Plans

Need an overview? Use `list_plans` to see every structured plan your team has set up. If you only care about one specific project, just call `get_plan_details`. It pulls all the necessary context in a single step. The agent knows how to get exactly what it needs. You can also fetch details for an individual task using `get_task_details`, confirming every detail before moving forward.

Manage User Context

Before running any major operation, your agent should check who's operating the system. The `get_user_profile` tool pulls the current user details. This is crucial for logging and ensuring proper access rights. This step lets you bake security checks right into your agent workflow. You can confirm permissions and ownership before attempting to run a destructive action, like calling `delete_task`.

Setup guide

Set up Structured 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 Structured tools at runtime.
3

Create your Agent

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

Run the agent

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

You call the `list_plans` tool. This immediately gives you an array of every plan available in Structured, letting your agent build a clear map of available projects.

Yep. The `update_task` tool lets your agent change any existing field on a task—like changing the deadline or adding notes—without having to delete and recreate it.

The server manages core productivity data. Specifically, you get access to user profiles (`get_user_profile`), task details (`get_task_details`), and overall plan structures.

For maximum reliability, start by listing all plans using `list_plans` to establish scope. Then, confirm the user context first via `get_user_profile`. That sequence keeps your process clean.

This server touches the current user profile data. You need to ensure that your agent only uses `get_user_profile` if explicit authorization is granted for accessing personal identity details.

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