Structured MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Structured through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Structured, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Structured tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Structured MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Structured and passes them to the LLM
Why Use Vercel AI SDK with the Structured MCP Server
Vercel AI SDK provides unique advantages when paired with Structured through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Structured integration everywhere
Built-in streaming UI primitives let you display Structured tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Structured + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Structured MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Structured in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Structured tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Structured capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Structured through natural language queries
Structured MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Structured to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Structured to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStructured + Vercel AI SDK FAQ
Common questions about integrating Structured MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.