Kelkoo MCP Server for CrewAI 8 tools — connect in under 2 minutes
Connect your CrewAI agents to Kelkoo through Vinkius, pass the Edge URL in the `mcps` parameter and every Kelkoo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Kelkoo Specialist",
goal="Help users interact with Kelkoo effectively",
backstory=(
"You are an expert at leveraging Kelkoo tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Kelkoo "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 8 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Kelkoo MCP Server
Connect your Kelkoo Group publisher account to any AI agent to access millions of product offers and shopping data. This MCP server allows your agent to search for products, compare prices across merchants, and explore rich retail catalogs directly.
When paired with CrewAI, Kelkoo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kelkoo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Offer Discovery — Search for real-time product offers across 39 countries using keywords and categories
- Price Comparison — Retrieve detailed price and merchant information for millions of items
- Catalog Exploration — Navigate hierarchical category trees and list merchants by country
- Deal Hunting — Search for active discount coupons and promotional deals
- Market Insights — List supported countries and access performance reporting summaries
The Kelkoo MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI 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 Kelkoo to CrewAI via MCP
Follow these steps to integrate the Kelkoo MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 8 tools from Kelkoo
Why Use CrewAI with the Kelkoo MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Kelkoo through the Model Context Protocol.
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
Kelkoo + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Kelkoo MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Kelkoo for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Kelkoo, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Kelkoo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Kelkoo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Kelkoo MCP Tools for CrewAI (8)
These 8 tools become available when you connect Kelkoo to CrewAI via MCP:
get_category_tree
Get the hierarchical category tree
get_offer_details
Get details for a specific offer
get_reporting_summary
Get publisher reporting summary
list_categories
List product categories for a country
list_countries
List all supported countries
list_merchants
List merchants for a country
search_coupons
Search for discount coupons
search_offers
Requires a country code (e.g., "us", "uk", "fr") and a search keyword. Search for product offers on Kelkoo
Example Prompts for Kelkoo in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Kelkoo immediately.
"Search for 'iPhone 15' offers in the UK on Kelkoo."
"List all shopping categories available in France."
"Find active coupons for the US market."
Troubleshooting Kelkoo MCP Server with CrewAI
Common issues when connecting Kelkoo to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Kelkoo + CrewAI FAQ
Common questions about integrating Kelkoo MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
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.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Kelkoo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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 Kelkoo to CrewAI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.