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 Google ADK 9 tools — connect in under 2 minutes

Name: Structured
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Structured as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="structured_agent",
    instruction=(
        "You help users interact with Structured "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

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* 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.

Google ADK natively supports Structured as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Structured MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Structured via MCP

Why Use Google ADK with the Structured MCP Server

Google ADK provides unique advantages when paired with Structured through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Structured

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Structured tools with BigQuery, Vertex AI, and Cloud Functions

Structured + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Structured MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Structured and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Structured tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Structured regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Structured

Structured MCP Tools for Google ADK (9)

These 9 tools become available when you connect Structured to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Structured to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Structured + Google ADK FAQ

Common questions about integrating Structured MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.