Compatible with every major AI agent and IDE
Search autocomplete on Klevu (E-commerce AI Search)
Fetch search autocomplete suggestions as the user types
Search category on Klevu (E-commerce AI Search)
Retrieve products for a specific category page (Smart Category Merchandising)
Search filtered on Klevu (E-commerce AI Search)
g., color, size, brand) applied to narrow down the result set. Search the Klevu catalog with specific facet filters applied
Search keyword on Klevu (E-commerce AI Search)
Search catalog by keyword using Klevu AI
Search pagination on Klevu (E-commerce AI Search)
Retrieve paginated results for a search query
Search product id on Klevu (E-commerce AI Search)
Retrieve details for a specific catalog product by ID
Search raw on Klevu (E-commerce AI Search)
Execute a custom JSON search payload against the Klevu API
Search recs on Klevu (E-commerce AI Search)
Fetch Klevu AI product recommendations
Search sorted on Klevu (E-commerce AI Search)
Perform a keyword search with a custom sorting order
Search trending on Klevu (E-commerce AI Search)
View currently trending and most relevant global products
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Klevu (E-commerce AI Search)
Securely interface Claude Code, ChatGPT, and Cursor with the Klevu (E-commerce AI Search) API through semantic routing and standardized natural language triggers.
Streamlining site search
Connect Klevu (E-commerce AI Search) to your AI agents (Claude, ChatGPT, Cursor) to manage site search operations. The MCP server processes the underlying API requests and schema formatting for the ecommerce domain.
Cursor Copilot for product discovery
Integrate the Klevu (E-commerce AI Search) server to handle product discovery requests natively. It provides the schemas required for ChatGPT and Cursor to manage ecommerce data.
Klevu (E-commerce AI Search). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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