Structured MCP. Manage your entire schedule through conversation.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Structured MCP Server lets your AI client manage your daily planner, tasks, and routines directly from your terminal. Your agent can read all scheduled events, create new tasks, update deadlines, or even retrieve your user profile—all without you opening the mobile app.
It treats your personal agenda like a database, letting you programmatically control your day.
What your AI agents can do
Create plan
Adds an entirely new multi-step routine or life plan into Structured.
Create task
Adds a single, one-time task with an optional start date and time.
Delete task
Permanently removes a specified task. This action cannot be undone.
The agent retrieves every active task in your planner, giving you an overview of what's on the calendar.
You pull deep information on a single task, like its associated notes or required resources.
The agent adds entirely new items to your planner, whether it's a one-off meeting or a complex multi-day routine.
You modify an existing item—changing its due date, marking it complete, or adjusting the time block.
The agent reads your stored routine templates, allowing you to understand their structural rules before running them.
You check your linked account details, like your operational timezone or Pro subscription status.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Structured: 9 Tools for Task & Plan Management
Use these nine tools to create, read, update, and delete every element of your daily planner—from single tasks to complex recurring plans.
019d760ecreate plan
Adds an entirely new multi-step routine or life plan into Structured.
019d760ecreate task
Adds a single, one-time task with an optional start date and time.
019d760edelete task
Permanently removes a specified task. This action cannot be undone.
019d760eget plan details
Retrieves the full structural details and constraints of an existing plan or routine.
019d760eget task details
Pulls all specific metadata for a single task, including notes and required context.
019d760eget user profile
Retrieves your user-level information, such as account status or operational timezone.
019d760elist plans
Lists all the custom routines and plans you have created in Structured.
019d760elist tasks
Retrieves a full list of every task currently scheduled in your planner.
019d760eupdate task
Modifies an existing task, letting you change its deadline or mark it as finished.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Structured, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
This Structured MCP Server lets your AI client treat your personal planner like a database you can programmatically control. You don't gotta open that goddamn mobile app just to check something off or change a date. Your agent acts as a dedicated scheduling assistant, giving you full command over your routines and daily tasks.
Viewing Your Schedule
Your AI client pulls everything scheduled into a clear overview using list_tasks, which retrieves every active item in your planner. You can drill down on any single commitment by running get_task_details, pulling all the specific metadata, notes, and required context associated with it. When you need to understand your established routines or multi-step life plans, run list_plans to see a full inventory of stored templates.
To grasp how a routine works before executing it, use get_plan_details; this action pulls the entire structural breakdown and any hard constraints governing that plan.
Creating New Entries
You can add single, one-time obligations using create_task, specifying an optional start date or time for when it's due. If you need to set up a whole new multi-step routine—a full life plan—you use the create_plan tool. These tools let you build structure right into your day.
Managing and Modifying Tasks
The system lets you change existing items whenever they shift. You modify an item's deadline or mark it as finished using update_task. If a task is canceled entirely, running delete_task permanently removes that specific commitment; be warned, this action can't be undone.
Checking Your Settings and Identity
To verify your linked account details—like whether you're on Pro or what your operational timezone is—you run get_user_profile. This gives you an immediate status check without needing to log into anything else. It’s a straight shot at managing every piece of data in your personal agenda.
How Structured MCP Works
- 1 Enable the Structured MCP module and configure it as an active integration within Vinkius.
- 2 In the parameter matrix, bind your official
STRUCTURED_TOKEN(found in your Structured Pro settings). - 3 Tell your agent what you need: 'List tomorrow's tasks and reschedule the architecture review for 3 PM.'
The bottom line is that your AI client sends a request, and this server executes the necessary actions against your actual Structured account data.
Who Is Structured MCP For?
Anyone whose job involves managing complex schedules—executives who jump between meetings, engineers tracking project milestones, or founders building out core processes. If you spend time switching between a calendar app and a text editor just to document your day's tasks, this is for you.
You use it to dictate complex schedule changes or review your week's commitments naturally via conversation, without opening the desktop app.
You bind your daily agenda directly into your IDE conversational AI. Your agent tracks project tasks and schedules follow-up meetings as you code.
You use it to monitor creative blocks, formulate new recurring routines, and execute administrative tasks by simply talking to your AI assistant.
What Changes When You Connect
- Need to see what's coming up? Use
list_tasksto instantly pull a list of all pending items. You get an immediate, comprehensive view without opening the app. - Missed a meeting and need to reschedule it? Call
update_taskto change the due date or mark the task as complete. It handles the state change directly in Structured. - Building a new habit? Use
create_planto build an entire multi-step routine, like 'Morning Workout,' that your agent can then execute and track over time. - Don't know what constraints govern your routines? Run
get_plan_detailson any plan. You get the exact structural rules defined for that habit or project flow. - Want to verify permissions before making changes? Use
get_user_profile. It returns your current status and timezone, letting you confirm context before running a destructive command likedelete_task.
Real-World Use Cases
The executive needs to adjust next week's schedule.
The founder realizes the 'Q3 Strategy Review' task is too early. They simply ask their agent, 'Move the Q3 meeting until Tuesday.' The agent runs get_task_details to find the ID and then uses update_task, shifting the date and notifying stakeholders—all in one chat interaction.
The engineer needs to audit all pending tasks for a project.
The software engineer runs, 'Show me every task related to Project Hydra.' The agent executes list_tasks, filtering the results by keywords, and then uses get_task_details on the top three items to pull required documentation links.
The creator wants to set up a new writing routine.
Instead of manually setting reminders, the creator tells their agent, 'Set up a 4-week drafting plan.' The agent responds by using create_plan, establishing the recurring structure and milestones in Structured for them.
The team needs to clean up old, unnecessary tasks.
A user identifies several completed or obsolete entries. They prompt their agent: 'Delete all tasks marked as retired.' The agent runs list_tasks to find the IDs and uses delete_task on each one, keeping the planner clean.
The Tradeoffs
Trying to update a task without its ID.
The user just says, 'Change tomorrow's meeting time.' The agent fails because it doesn't know which specific instance of the meeting you mean. You need more context.
→
First, use list_tasks to pull the list and find the exact task ID or title. Then, run update_task using that precise identifier to guarantee the correct record is modified.
Creating a routine without checking its rules.
The user tries to manually force an action into a complex plan structure. This often breaks the pre-defined workflow, causing errors or missing steps.
→
Before making changes, always use get_plan_details on the existing plan. Reviewing these details shows you the structural constraints before your agent attempts any modifications.
Assuming all tasks are listed in one place.
The user assumes a simple query will return everything, but some data is archived or separated into different plans.
→
Don't just rely on list_tasks. You must check for overall routines first by calling list_plans, and then use get_plan_details to see if the task lives within a specific plan structure.
When It Fits, When It Doesn't
Use this MCP Server if your primary need is managing discrete, defined tasks and structured plans (CRUD). You should use it anytime you want your AI client to act like an administrator for your daily planner—creating things, changing dates, or reporting status. Don't use this if your workflow requires complex dependency mapping across multiple external systems, or if you need advanced data querying that goes beyond simple lists and details retrieval (e.g., 'Find all tasks assigned to John and due after last Friday'). For those scenarios, look for a specialized API connector designed for relational database queries instead.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Structured. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually updating your schedule is tedious, slow, and requires context switching.
Today, if you need to adjust a meeting or add a new routine, you're stuck. You have to open the Structured app, navigate to the specific day, find the task, manually change the date on the calendar view, and maybe copy-paste notes into a separate document just for reference. It takes five clicks across three different screens.
With this MCP server, you just talk to your agent. You tell it: 'Change Project X kickoff to next Monday.' The agent handles the entire sequence—it finds the task ID using `get_task_details`, calculates the new date, and runs `update_task`. Done in a single chat command.
The Structured MCP Server: Automate your day's planning with programmatic calls.
Forget logging into multiple tools to confirm what you need to do. You can list all future plans using `list_plans` and then pull the rules of a specific routine using `get_plan_details`. It keeps everything in one API conversation.
This server lets your AI client treat your schedule like code—a predictable, reliable data structure. Your day is now managed by commands, not clicks.
Common Questions About Structured MCP
How do I list all my tasks using the Structured MCP Server? +
You run list_tasks. This command immediately pulls a complete list of every single task currently registered in your planner, letting you see what's pending.
Can I change a task deadline with update_task? +
Yes. You call update_task and provide the specific task ID along with the new date or time. This modifies the original record directly, which is safer than manual edits.
What does get_user_profile do for my day planner? +
It retrieves your account's core metadata. You use get_user_profile to confirm things like if you're on the Pro plan or what your primary operational timezone is before making any changes.
How do I see all my available routines? +
You call list_plans. This function returns a list of every multi-step routine (or 'plan') you've set up, giving you an overview of your habits and long-term goals.
How does the `delete_task` function handle permanent deletion of a task? +
It performs an irreversible action. This tool permanently removes the task from your Structured account immediately upon execution. Use this command only when you are absolutely sure the item should not be recovered, as there is no undo feature.
What specific details can I retrieve using `get_task_details`? +
It pulls deep metadata about a single task. You get more than just the title and date; you also access context like associated plans, recurrence rules, and completion status history for that exact task.
What inputs are required when I use the `create_plan` tool? +
You must provide a unique plan name and description. These fields define the boundaries of your new routine. The system then builds the structural framework for all related tasks under that single, named plan.
What happens when I use `get_plan_details` for a non-existent routine? +
The server returns an explicit error code and message. It will tell you exactly which Plan ID was missing or if the provided parameters don't match any current plans in your account.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
ArcXP
Automate newsroom publishing via ArcXP — manage, search, and update articles, photos, and videos directly from any AI agent.
Mingdao Cloud
Enterprise zero-code application and workflow platform — manage worksheets, records, and automations via AI.
GitScrum Sprints
Plan and track sprints via GitScrum — manage sprint cycles, monitor KPIs, review burndown charts, and organize user stories and epics from any AI agent.
You might also like
Figma Alternative
Access Figma design files, comments, components and images via API — inspect nodes, render exports and track version history from any AI agent.
Mambu
Manage clients, loans, deposits, and tasks on Mambu Cloud Banking Platform.
Finance Toolkit
Empower your AI agents to compute complex financial formulas. Instantly calculate ROI, compound interests, and SAC/Price amortization tables local.