Do I need a paid plan to use the Structured programmatic API?

Yes. Programmatic integrations and the ability to systematically generate and query your personal API access require a Structured Pro plan to safely extract the required access tokens securely.

Can the integration delete past records destructively by accident executing commands natively?

Risk is inherently mitigated. The AI only calls mutations like `delete_task` precisely when instructed unequivocally. Records aren't inherently purged on exploration, allowing safe queries comprehensively continuously naturally.

Which platforms does the Structured integration support?

The MCP connects to the Structured Pro API, which syncs across iOS, iPadOS, macOS, and the web app. Any task created or updated via the AI is reflected on all your devices in real time.

Structured MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Structured
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Structured Assistant",
            instructions=(
                "You help users interact with Structured. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Structured MCP Server

Integrate the powerful tracking of the Structured daily planner directly into your conversational AI environment. Empower your productivity by allowing your LLM to intuitively create tasks, schedule complex recurring routines, and manage your day programmatically without opening the mobile app. With this MCP connector securely attached to your Structured Pro environment, your agent can serve as an active scheduling assistant, iterating dynamically through your agenda, parsing task structures, and executing adjustments organically.

The OpenAI Agents SDK auto-discovers all 9 tools from Structured through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Structured, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Agenda Discovery — Audit your scheduled events querying active records using list_tasks and retrieve deep metadata specific assignments utilizing get_task_details.
Task Orchestration — Drive agile agenda resolutions adding new items seamlessly executing create_task or adjusting timelines using update_task.
Routine Management — Check your active multi-step routines effectively through list_plans and isolate their specific structural constraints engaging get_plan_details.
Profile Validations — Safely extract your user metadata boundaries and operational statuses natively invoking get_user_profile.

The Structured MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Structured to OpenAI Agents SDK via MCP

Follow these steps to integrate the Structured MCP Server with OpenAI Agents SDK.

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 9 tools from Structured

Why Use OpenAI Agents SDK with the Structured MCP Server

OpenAI Agents SDK provides unique advantages when paired with Structured 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

Structured + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Structured MCP Server delivers measurable value.

Automated workflows: build agents that query Structured, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Structured, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Structured tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Structured to resolve tickets, look up records, and update statuses without human intervention

Structured MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Structured to OpenAI Agents SDK via MCP:

create_plan

Creates a new plan

create_task

Provide a title and optional start time. Creates a new task in Structured

delete_task

This action is irreversible. Permanently deletes a task

get_plan_details

Retrieves details for a specific plan

get_task_details

Retrieves details for a specific task

get_user_profile

Retrieves the current user profile

list_plans

Lists all structured plans

list_tasks

Lists all tasks in Structured

update_task

Updates an existing task

Example Prompts for Structured in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Structured immediately.

"Assess my active Structured environment, listing today's pending tasks, and mark the scheduled meeting block as successfully completed."

"List all active plans for the week, and display the detailed constraints of the 'Morning Focus' routine."

"Read my user profile cleanly to extract my workspace validation level and operational timezone."

Troubleshooting Structured MCP Server with OpenAI Agents SDK

Common issues when connecting Structured to OpenAI Agents SDK through the 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.

Structured + OpenAI Agents SDK FAQ

Common questions about integrating Structured 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.