Constructor MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Constructor 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 Constructor, 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 Constructor MCP Server
Connect your Constructor.io account to any AI agent and take full control of your site search and product discovery workflows through natural conversation.
The Vercel AI SDK gives every Constructor tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- AI-Powered Search — Execute ML-ranked product retrieval dynamically mapped to e-commerce signals and user intent
- Predictive Autocomplete — Access fast predictive typing boundaries and trace exact matched categories for any partial query
- Dynamic Recommendations — Surface personalized products using collaborative filtering models and custom recommendation pods
- Category & Brand Browsing — Navigate through product directory trees and manufacturer taxonomies without any query bias
- Advanced Filtering — Apply strict attribute filters (colors, sizes, features) and custom sort rules to refine product discovery results
- Collection Management — Retrieve curated marketing clusters and static collections accurately for promotional auditing
The Constructor MCP Server exposes 10 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 Constructor to Vercel AI SDK via MCP
Follow these steps to integrate the Constructor 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 10 tools from Constructor and passes them to the LLM
Why Use Vercel AI SDK with the Constructor MCP Server
Vercel AI SDK provides unique advantages when paired with Constructor 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 Constructor integration everywhere
Built-in streaming UI primitives let you display Constructor 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
Constructor + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Constructor MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Constructor in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Constructor tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Constructor capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Constructor through natural language queries
Constructor MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Constructor to Vercel AI SDK via MCP:
autocomplete
Perform structural extraction of properties driving active Account logic
browse_brand
Inspect deep internal arrays mitigating specific Plan Math
browse_category
Provision a highly-available JSON Payload generating hard Customer bindings
browse_collection
Identify precise active arrays spanning native Gateway auth
custom_search
Identify precise active arrays spanning native Hold parsing
get_recommendations
Retrieve explicit Cloud logging tracing explicit Vault limits
search_filtered
]` bounding JSON structures restricting arrays to exact colors/sizes or features. Irreversibly vaporize explicit validations extracting rich Churn flags
search_pagination
Dispatch an automated validation check routing explicit Gateway history
search_products
Identify bounded CRM records inside the Headless Constructor.io Platform
search_sorted
Enumerate explicitly attached structured rules exporting active Billing
Example Prompts for Constructor in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Constructor immediately.
"Search for 'running shoes' in Constructor"
"What products are recommended in the 'home-page-trending' pod?"
"Browse the 'Outdoor Furniture' category"
Troubleshooting Constructor MCP Server with Vercel AI SDK
Common issues when connecting Constructor to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpConstructor + Vercel AI SDK FAQ
Common questions about integrating Constructor 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 Constructor 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 Constructor to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.