How to Use the Klevu (E-commerce AI Search) MCP in CrewAI

Q: What tool should my agents use for complex, multi-faceted filtering?

Your agents should use the searchfiltered tool. It allows them to specify multiple criteria like brand, color, price range, and size simultaneously to drill down to the exact products needed.

Run autonomous multi-agent teams to manage and optimize your catalog search using CrewAI.

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Connect Klevu (E-commerce AI Search) MCP to CrewAI

Create your Vinkius account to connect Klevu (E-commerce AI Search) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Klevu (E-commerce AI Search) with CrewAI

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Autonomous merchandising crews with CrewAI

Stop managing your online store manually. With CrewAI, you can deploy a team of specialized agents where one agent analyzes search trends using `search_trending`, while another maps those trends to specific category pages using `search_category`. The agents collaborate using shared memory to ensure the merchandising strategy is consistent. They can run continuously in the background, updating your store layout based on real-world customer behavior without requiring human oversight.

Multi-agent search optimization using this MCP Server

Optimize your search relevance automatically. Set up an agent team where a search analyst agent tests queries with `search_keyword` and a quality control agent evaluates the results via our MCP Server. If the results don't meet your quality score, the analyst agent can try alternative strategies like `search_filtered` or `search_sorted` until it finds the optimal combination of parameters for your catalog.

Deep catalog audits via product details

Keep your product descriptions and search indexing perfectly aligned. An auditor agent can crawl your catalog by calling `search_product_id` to pull detailed product specifications for review. It can cross-reference this data with search queries to find gaps where products aren't showing up for relevant terms, automatically generating reports or suggesting updates to your inventory management system.

Setup guide

Set up Klevu (E-commerce AI Search) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Klevu (E-commerce AI Search) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Klevu (E-commerce AI Search) Analyst",
    goal="Access and analyze Klevu (E-commerce AI Search) data via MCP.",
    backstory="Expert analyst with direct Klevu (E-commerce AI Search) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Klevu (E-commerce AI Search) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Klevu (E-commerce AI Search) Analyst",
        goal="Access and analyze Klevu (E-commerce AI Search) data via MCP.",
        backstory="Expert analyst with direct Klevu (E-commerce AI Search) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Klevu (E-commerce AI Search) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Klevu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Klevu (E-commerce AI Search) MCP in CrewAI

Your agents share context and memory. For example, a researcher agent can identify popular items using `search_trending`, and pass those product details to a marketer agent to build a custom landing page.

Yes. When setting up your crew, you can use the MCPServerHTTP class with a custom tool filter. This lets you restrict your content agent to `search_recs` while giving your admin agent full access to `search_raw`.

You simply pass your Vinkius MCP URL into the agent's configuration. The framework handles the transport layer automatically, allowing your agents to invoke the tools during their execution cycles.

Your agents should use the `search_filtered` tool. It allows them to specify multiple criteria like brand, color, price range, and size simultaneously to drill down to the exact products needed.

Yes. All data transmission between CrewAI and the Vinkius platform is fully encrypted in transit. The server environment is completely stateless, meaning no catalog metadata or user search parameters are ever persisted or used for training.

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