MCP For Claude Marketplace
Klevu (E-commerce AI Search)

Klevu (E-commerce AI Search) MCP Connector for Claude

A+

Power your e-commerce discovery via Klevu AI — execute keyword searches, manage category merchandising, and retrieve product recommendations.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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Connect your Klevu account to any AI agent and take full control of your e-commerce search foundation and product discovery through natural conversation.

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

How it works

  1. Subscribe to this server
  2. Enter your Klevu Search URL and API Key
  3. Start optimizing your product discovery from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • E-commerce Developers — test search relevance and category API results through natural conversation without manual Postman queries
  • Digital Merchandisers — audit product rankings and recommendation logics across multiple categories and store views efficiently
  • Data Analysts — monitor trending products and search performance to identify market opportunities and catalog gaps
site-searchproduct-discoverymerchandisingai-searchrecommendation-enginesearch-relevancy

10 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using Klevu (E-commerce AI Search).

Search for 'waterproof jackets' in my Klevu catalog

Searching catalog… I've found 12 waterproof jackets. Top results include the 'Summit Pro Hardshell', 'RainGuard Trail Jacket', and 'Urban Explorer Parka'. Prices range from $89 to $245. Would you like to filter these by size or brand?

Show me trending products for the 'Home Decor' category

Retrieving trending items for 'Home Decor'… Current top sellers include 'Minimalist Ceramic Vase', 'Boho Woven Throw', and 'Smart Ambient Lamp'. These items are showing high engagement over the last 24 hours. Would you like to see visual similar items?

Execute a filtered search for 'sneakers' with brand 'Nike'

Filtering search for Nike sneakers… Found 8 matches. Featured models: 'Air Max Pulse', 'Dunk Low Retro', and 'Zoom Fly 5'. Would you like me to sort these by price from lowest to highest?

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.

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