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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Klevu (E-commerce AI Search) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="klevu_e_commerce_ai_search_agent",
    instruction=(
        "You help users interact with Klevu (E-commerce AI Search) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Klevu (E-commerce AI Search)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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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.

Google ADK natively supports Klevu (E-commerce AI Search) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Klevu (E-commerce AI Search) via MCP

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

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Klevu (E-commerce AI Search)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Klevu (E-commerce AI Search) tools with BigQuery, Vertex AI, and Cloud Functions

Klevu (E-commerce AI Search) + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query Klevu (E-commerce AI Search) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Klevu (E-commerce AI Search) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Klevu (E-commerce AI Search) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Klevu (E-commerce AI Search)

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

These 10 tools become available when you connect Klevu (E-commerce AI Search) to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Klevu (E-commerce AI Search) + Google ADK FAQ

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

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Klevu (E-commerce AI Search) to Google ADK

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