Klevu (E-commerce AI Search) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Klevu (E-commerce AI Search) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="klevu_e_commerce_ai_search_agent",
tools=tools,
system_message=(
"You help users with Klevu (E-commerce AI Search). "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Klevu (E-commerce AI Search) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Klevu (E-commerce AI Search) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Klevu (E-commerce AI Search) automatically
Why Use AutoGen with the Klevu (E-commerce AI Search) MCP Server
AutoGen provides unique advantages when paired with Klevu (E-commerce AI Search) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Klevu (E-commerce AI Search) tools to solve complex tasks
Role-based architecture lets you assign Klevu (E-commerce AI Search) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Klevu (E-commerce AI Search) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Klevu (E-commerce AI Search) tool responses in an isolated environment
Klevu (E-commerce AI Search) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Klevu (E-commerce AI Search) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Klevu (E-commerce AI Search) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Klevu (E-commerce AI Search), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Klevu (E-commerce AI Search) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Klevu (E-commerce AI Search) responses in a sandboxed execution environment
Klevu (E-commerce AI Search) MCP Tools for AutoGen (10)
These 10 tools become available when you connect Klevu (E-commerce AI Search) to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Klevu (E-commerce AI Search) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Klevu (E-commerce AI Search) + AutoGen FAQ
Common questions about integrating Klevu (E-commerce AI Search) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect Klevu (E-commerce AI Search) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.