Klevu (E-commerce AI Search) Connector for AI agents.
10 live capabilities
Manage your product catalog and search relevancy through natural conversation.
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Why people use Klevu (E-commerce AI Search)
Audit Klevu Merchandising with the Klevu (E-commerce AI Search)
With this Connector, you just tell your agent to pull the products for a specific category. It gives you the list instantly, so you can audit your rankings and display sequences in seconds instead of minutes.
What Vinkius changes
You get a direct, conversational line to your Klevu data without touching a single line of code.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Verify category rankings
A merchandiser needs to see if a new brand is showing up in the 'Shoes' category.
- Real-world use case 02
Test new search rules
A developer wants to test a new search rule.
- Real-world use case 03
Identify seasonal trends
A data analyst wants to find the top 5 trending items in 'Home Decor'.
Complete set · 10capabilities
The complete Klevu (E-commerce AI Search) capability set.
These are the exact actions your AI can choose when you ask it to work with Klevu (E-commerce AI Search).
01—04
4 capabilities in this set.
Part of 10 available through Klevu (E-commerce AI Search).
- 01 Capability
Search autocomplete
Fetch search autocomplete suggestions as the user types. This helps you understand what customers are looking for as they start typing.
- 02 Capability
Search category
Retrieve products for a specific category page. Use this to audit your smart merchandising rules and display sequences.
- 03 Capability
Search filtered
Search the Klevu catalog with specific facet filters applied. This lets you narrow down results by color, size, or brand.
- 04 Capability
Search keyword
Search the catalog by keyword using Klevu AI. This is the primary way to check search relevancy for specific terms.
05—07
3 capabilities in this set.
Part of 10 available through Klevu (E-commerce AI Search).
- 05 Capability
Search pagination
Retrieve paginated results for a search query. Use this to see deeper results beyond the first page.
- 06 Capability
Search product id
Retrieve details for a specific catalog product by ID. This is perfect for looking up a single item's data quickly.
- 07 Capability
Search raw
Execute a custom JSON search payload against the Klevu API. Use this for deeply nested query configurations or specific V2 settings.
08—10
3 capabilities in this set.
Part of 10 available through Klevu (E-commerce AI Search).
- 08 Capability
Search recs
Fetch Klevu AI product recommendations. This pulls visually similar, frequently bought together, or trending items.
- 09 Capability
Search sorted
Perform a keyword search with a custom sorting order. This helps you see how different sorting rules affect your results.
- 10 Capability
Search trending
View currently trending and most relevant global products. Use this to identify top-selling items and seasonal trends.
Set up in minutes
One URL. Then ask Klevu (E-commerce AI Search) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Klevu (E-commerce AI Search) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Klevu (E-commerce AI Search), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Klevu (E-commerce AI Search) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Klevu (E-commerce AI Search) URL.
- Step 03
Save and start
Save the connection and enable Klevu (E-commerce AI Search) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"klevu-e-commerce-ai-search": {
"url": "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 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
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"klevu-e-commerce-ai-search": {
"url": "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Klevu (E-commerce AI Search)
Ask Copilot: "Using Klevu (E-commerce AI Search), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"klevu-e-commerce-ai-search": {
"url": "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Klevu (E-commerce AI Search)
Open Cascade and ask: "Using Klevu (E-commerce AI Search), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"klevu-e-commerce-ai-search": {
"url": "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Klevu (E-commerce AI Search)
Ask Cline: "Using Klevu (E-commerce AI Search), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add klevu-e-commerce-ai-search --transport http "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Klevu (E-commerce AI Search)
Ask Claude: "Using Klevu (E-commerce AI Search), show me...". 10 tools are ready
Where the request belongs
Work Klevu can move forward.
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.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsConstructor
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Kelkoo
Search product offers, compare prices, and explore retail catalogs via Kelkoo.
DataDive
Equip your AI agent to retrieve Amazon seller insights, keyword rankings, and niche analytics directly via the DataDive API.
Searchspring
Empower your AI to search, filter, and recommend e-commerce products using the Searchspring (Athos Commerce) catalog API.
DataForSEO
Manage SERP data via DataForSEO. track Google organic rankings, audit Maps nodes, monitor News publications, and research Amazon products directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Klevu connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Klevu.
The practical details behind the request, access and result.
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 capability 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 capability 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 capability 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 capability 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.
One connection away
Give your agent a direct line to Klevu.
Connect Klevu once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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