Klevu (E-commerce AI Search) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Klevu (E-commerce AI Search) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Klevu (E-commerce AI Search) Assistant",
instructions=(
"You help users interact with Klevu (E-commerce AI Search). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Klevu (E-commerce AI Search)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Klevu (E-commerce AI Search) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Klevu (E-commerce AI Search), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Klevu (E-commerce AI Search) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Klevu (E-commerce AI Search)
Why Use OpenAI Agents SDK with the Klevu (E-commerce AI Search) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Klevu (E-commerce AI Search) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Klevu (E-commerce AI Search) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Klevu (E-commerce AI Search) MCP Server delivers measurable value.
Automated workflows: build agents that query Klevu (E-commerce AI Search), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Klevu (E-commerce AI Search), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Klevu (E-commerce AI Search) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Klevu (E-commerce AI Search) to resolve tickets, look up records, and update statuses without human intervention
Klevu (E-commerce AI Search) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Klevu (E-commerce AI Search) to OpenAI Agents SDK via MCP:
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
Example Prompts for Klevu (E-commerce AI Search) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Klevu (E-commerce AI Search) immediately.
"Search for 'waterproof jackets' in my Klevu catalog"
"Show me trending products for the 'Home Decor' category"
"Execute a filtered search for 'sneakers' with brand 'Nike'"
Troubleshooting Klevu (E-commerce AI Search) MCP Server with OpenAI Agents SDK
Common issues when connecting Klevu (E-commerce AI Search) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Klevu (E-commerce AI Search) + OpenAI Agents SDK FAQ
Common questions about integrating Klevu (E-commerce AI Search) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Klevu (E-commerce AI Search) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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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.
Connect Klevu (E-commerce AI Search) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.