Klevu (E-commerce AI Search) MCP Server
Power your e-commerce discovery via Klevu AI — execute keyword searches, manage category merchandising, and retrieve product recommendations.
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What is the Klevu MCP Server?
The Klevu MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Klevu via 10 tools. Power your e-commerce discovery via Klevu AI — execute keyword searches, manage category merchandising, and retrieve product recommendations. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Klevu
Ask your AI agent "Search for 'waterproof jackets' in my Klevu catalog" and get the answer without opening a single dashboard. With 10 tools connected to real Klevu data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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Klevu (E-commerce AI Search) MCP Server capabilities
10 toolsFetch search autocomplete suggestions as the user types
Retrieve products for a specific category page (Smart Category Merchandising)
g., color, size, brand) applied to narrow down the result set. Search the Klevu catalog with specific facet filters applied
Search catalog by keyword using Klevu AI
Retrieve paginated results for a search query
Retrieve details for a specific catalog product by ID
Execute a custom JSON search payload against the Klevu API
Fetch Klevu AI product recommendations
Perform a keyword search with a custom sorting order
View currently trending and most relevant global products
What the Klevu (E-commerce AI Search) MCP Server unlocks
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
Frequently asked questions about the Klevu (E-commerce AI Search) MCP Server
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.
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Give your AI agents the power of Klevu MCP Server
Production-grade Klevu (E-commerce AI Search) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






