Structured MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Structured through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"structured": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Structured Agent",
instructions:
"You help users interact with Structured " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Structured?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Structured tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Agenda Discovery — Audit your scheduled events querying active records using
list_tasksand retrieve deep metadata specific assignments utilizingget_task_details. - Task Orchestration — Drive agile agenda resolutions adding new items seamlessly executing
create_taskor adjusting timelines usingupdate_task. - Routine Management — Check your active multi-step routines effectively through
list_plansand isolate their specific structural constraints engagingget_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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Structured MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from Structured via MCP
Why Use Mastra AI with the Structured MCP Server
Mastra AI provides unique advantages when paired with Structured through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Structured without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Structured tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Structured + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Structured MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Structured, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Structured as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Structured on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Structured tools alongside other MCP servers
Structured MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Structured to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Structured to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpStructured + Mastra AI FAQ
Common questions about integrating Structured MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Structured with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Structured to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.