Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search), 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 Klevu (E-commerce AI Search) MCP Server
Connect your Klevu account to any AI agent and take full control of your e-commerce search foundation and product discovery through natural conversation.
The Vercel AI SDK gives every Klevu (E-commerce AI Search) 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 Keyword Search — Execute high-relevancy keyword searches against your product catalog, categories, and CMS pages directly from your agent
- Category Merchandising — Retrieve products configured for specific category navigation paths to audit smart merchandising rules and display sequences
- Facet & Filter Analytics — Perform complex filtered searches using explicit facets like color, size, or brand to identify specific product segments
- Predictive Autocomplete — Access fast autocomplete suggestions and popular product matches based on partial search terms to improve UX navigation
- ML Recommendations — Fetch visually similar, frequently bought together, or trending product recommendations driven by Klevu's machine learning models
- Trending Intelligence — Monitor global product velocity and relevance to identify top-selling items and seasonal trends across your entire store
- Raw API Access — Execute custom JSON search payloads for deeply nested query configurations and specific V2 API settings
The Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search) to Vercel AI SDK via MCP
Follow these steps to integrate the Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search) and passes them to the LLM
Why Use Vercel AI SDK with the Klevu (E-commerce AI Search) MCP Server
Vercel AI SDK provides unique advantages when paired with Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search) integration everywhere
Built-in streaming UI primitives let you display Klevu (E-commerce AI Search) 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
Klevu (E-commerce AI Search) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Klevu (E-commerce AI Search) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Klevu (E-commerce AI Search) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Klevu (E-commerce AI Search) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Klevu (E-commerce AI Search) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Klevu (E-commerce AI Search) through natural language queries
Klevu (E-commerce AI Search) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Klevu (E-commerce AI Search) to Vercel AI SDK via MCP:
search_autocomplete
Fetch search autocomplete suggestions as the user types
search_category
Retrieve products for a specific category page (Smart Category Merchandising)
search_filtered
g., color, size, brand) applied to narrow down the result set. Search the Klevu catalog with specific facet filters applied
search_keyword
Search catalog by keyword using Klevu AI
search_pagination
Retrieve paginated results for a search query
search_product_id
Retrieve details for a specific catalog product by ID
search_raw
Execute a custom JSON search payload against the Klevu API
search_recs
Fetch Klevu AI product recommendations
search_sorted
Perform a keyword search with a custom sorting order
search_trending
View currently trending and most relevant global products
Example Prompts for Klevu (E-commerce AI Search) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Klevu (E-commerce AI Search) immediately.
"Search for 'waterproof jackets' in my Klevu catalog"
"Show me trending products for the 'Home Decor' category"
"Execute a filtered search for 'sneakers' with brand 'Nike'"
Troubleshooting Klevu (E-commerce AI Search) MCP Server with Vercel AI SDK
Common issues when connecting Klevu (E-commerce AI Search) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKlevu (E-commerce AI Search) + Vercel AI SDK FAQ
Common questions about integrating Klevu (E-commerce AI Search) 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 Klevu (E-commerce AI Search) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Klevu (E-commerce AI Search) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.