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Why use Klevu (E-commerce AI Search) MCP Server with CrewAI?

Bring Site Search
to CrewAI

Create your Vinkius account to connect Klevu (E-commerce AI Search) to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Search AutocompleteSearch CategorySearch FilteredSearch KeywordSearch PaginationSearch Product IdSearch RawSearch RecsSearch SortedSearch Trending
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Klevu (E-commerce AI Search)

What is the 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.

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

Built-in capabilities (10)

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

Why CrewAI?

When paired with CrewAI, Klevu (E-commerce AI Search) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Klevu (E-commerce AI Search) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Klevu (E-commerce AI Search) in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Klevu (E-commerce AI Search) with Vinkius?

The Klevu (E-commerce AI Search) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Klevu (E-commerce AI Search)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Klevu (E-commerce AI Search) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Klevu (E-commerce AI Search) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Klevu (E-commerce AI Search) to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Klevu (E-commerce AI Search) for CrewAI

Every request between CrewAI and Klevu (E-commerce AI Search) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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