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Klevu (E-commerce AI Search) MCP Server for Cursor 10 tools — connect in under 2 minutes

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Classic Setup·json
{
  "mcpServers": {
    "klevu-e-commerce-ai-search": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Klevu (E-commerce AI Search)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Cursor's Agent mode turns Klevu (E-commerce AI Search) into an in-editor superpower. Ask Cursor to generate code using live data from Klevu (E-commerce AI Search) and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the Klevu (E-commerce AI Search) MCP Server with Cursor.

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using Klevu (E-commerce AI Search)

Open Agent mode in chat and ask: "Using Klevu (E-commerce AI Search), help me...". 10 tools available

Why Use Cursor with the Klevu (E-commerce AI Search) MCP Server

Cursor AI Code Editor provides unique advantages when paired with Klevu (E-commerce AI Search) through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Klevu (E-commerce AI Search) + Cursor Use Cases

Practical scenarios where Cursor combined with the Klevu (E-commerce AI Search) MCP Server delivers measurable value.

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Klevu (E-commerce AI Search) MCP Tools for Cursor (10)

These 10 tools become available when you connect Klevu (E-commerce AI Search) to Cursor via MCP:

01

search_autocomplete

Fetch search autocomplete suggestions as the user types

02

search_category

Retrieve products for a specific category page (Smart Category Merchandising)

03

search_filtered

g., color, size, brand) applied to narrow down the result set. Search the Klevu catalog with specific facet filters applied

04

search_keyword

Search catalog by keyword using Klevu AI

05

search_pagination

Retrieve paginated results for a search query

06

search_product_id

Retrieve details for a specific catalog product by ID

07

search_raw

Execute a custom JSON search payload against the Klevu API

08

search_recs

Fetch Klevu AI product recommendations

09

search_sorted

Perform a keyword search with a custom sorting order

10

search_trending

View currently trending and most relevant global products

Example Prompts for Klevu (E-commerce AI Search) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Klevu (E-commerce AI Search) immediately.

01

"Search for 'waterproof jackets' in my Klevu catalog"

02

"Show me trending products for the 'Home Decor' category"

03

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

Troubleshooting Klevu (E-commerce AI Search) MCP Server with Cursor

Common issues when connecting Klevu (E-commerce AI Search) to Cursor through the Vinkius, and how to resolve them.

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Klevu (E-commerce AI Search) + Cursor FAQ

Common questions about integrating Klevu (E-commerce AI Search) MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect Klevu (E-commerce AI Search) to Cursor

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.