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Klevu (E-commerce AI Search) MCP, Ready to Go

Use the Klevu (E-commerce AI Search) MCP with Claude or Cursor to audit rankings, pull ML recommendations, and manage your e-commerce search.

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No credit card required. Experience the power of this integration risk-free.

Manage your product catalog and search relevancy through natural conversation.

Klevu (E-commerce AI Search) MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Klevu (E-commerce AI Search) MCP Server?

1048ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 11 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 947ms
Average 1048ms
Max 1795ms
Trend (improving) ↓ 23%
Daily latency
1481ms 7/8/2026
1142ms 7/9/2026
1083ms 7/10/2026
1024ms 7/11/2026
1795ms 7/12/2026
971ms 7/13/2026
949ms 7/14/2026
1079ms 7/15/2026
1076ms 7/16/2026
971ms 7/17/2026
947ms 7/18/2026
7/8/2026 7/18/2026

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AI Agent

What AI agents can do with Klevu (E-commerce AI Search) 10-Tool Search & Merchandising

Use these tools to query your catalog, audit merchandising, and fetch AI-driven recommendations via your agent.

Search autocomplete

Fetch search autocomplete suggestions as the user types. This helps you understand what customers are looking for as they start typing.

Search category

Retrieve products for a specific category page. Use this to audit your smart merchandising rules and display sequences.

Search filtered

Search the Klevu catalog with specific facet filters applied. This lets you narrow down results by color, size, or brand.

Search keyword

Search the catalog by keyword using Klevu AI. This is the primary way to check search relevancy for specific terms.

Search pagination

Retrieve paginated results for a search query. Use this to see deeper results beyond the first page.

Search product id

Retrieve details for a specific catalog product by ID. This is perfect for looking up a single item's data quickly.

Search raw

Execute a custom JSON search payload against the Klevu API. Use this for deeply nested query configurations or specific V2 settings.

Search recs

Fetch Klevu AI product recommendations. This pulls visually similar, frequently bought together, or trending items.

Search sorted

Perform a keyword search with a custom sorting order. This helps you see how different sorting rules affect your results.

Search trending

View currently trending and most relevant global products. Use this to identify top-selling items and seasonal trends.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Audit Klevu Merchandising with the Klevu (E-commerce AI Search) MCP

Who wakes up in the morning needing this? It's the e-commerce merchandiser who's tired of clicking through dozens of category pages to check rankings, the developer who's stuck in a loop of manual API testing, and the data analyst who needs to spot trends without building custom scrapers.

E-commerce Developer

Testing search relevancy and category API results through natural conversation instead of manual Postman queries.

Digital Merchandiser

Auditing product rankings and recommendation logics across multiple store views and categories in minutes.

Data Analyst

Monitoring trending products and search performance to identify market opportunities and catalog gaps.

Frequently Asked Questions

Can I use the Klevu (E-commerce AI Search) MCP to check my category rankings? +

Yes, it lets you see exactly what products appear in specific navigation paths. You can audit your merchandising rules and display sequences through a natural conversation.

How does the Klevu (E-commerce AI Search) MCP help with merchandising? +

It allows you to audit smart merchandising rules and see how products are ranked across different store views without having to click through every page manually.

Can I use Klevu (E-commerce AI Search) MCP to find trending products? +

Yes, you can monitor global product velocity to identify top-selling items and seasonal trends across your entire store in real time.

Does the Klevu (E-commerce AI Search) MCP support custom API queries? +

Yes, it includes a tool for custom JSON payloads, so you can execute deeply nested query configurations or specific V2 API settings directly.

Can I use the Klevu (E-commerce AI Search) MCP to see autocomplete suggestions? +

Yes, it pulls the fast suggestions and popular matches based on partial search terms, helping you understand what customers are looking for as they type.

Can the Klevu (E-commerce AI Search) MCP help with product recommendations? +

It can fetch Klevu AI product recommendations, including visually similar, frequently bought together, and trending items.

Can I test how different filters affect search results through my agent? +

Yes. Use the search_filtered tool by providing a query and specific facet values (e.g., 'color': 'red'). Your agent will return the filtered result set, allowing you to verify that your indexing and category mappings are working correctly.

How do I get AI product recommendations using natural language? +

The search_recs tool allows your agent to fetch product recommendations based on specific ML logics, such as visual similarity or trending items. Simply ask your agent to show recommendations for a specific context or logic path.

Can I see which products are currently trending across my whole store? +

Absolutely. Use the search_trending tool to retrieve a baseline query sorted by relevance and sales velocity. Your agent will return the most popular items across your entire catalog, helping you monitor seasonal trends in real-time.

Your AI, connected to everything.

No credit card required · Free tier available

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