Kelkoo MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kelkoo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Kelkoo. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Kelkoo?"
)
print(response)
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 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.
LlamaIndex agents combine Kelkoo tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Kelkoo MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Kelkoo
Why Use LlamaIndex with the Kelkoo MCP Server
LlamaIndex provides unique advantages when paired with Kelkoo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kelkoo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kelkoo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kelkoo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kelkoo tools were called, what data was returned, and how it influenced the final answer
Kelkoo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kelkoo MCP Server delivers measurable value.
Hybrid search: combine Kelkoo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kelkoo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kelkoo for fresh data
Analytical workflows: chain Kelkoo queries with LlamaIndex's data connectors to build multi-source analytical reports
Kelkoo MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Kelkoo to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Kelkoo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKelkoo + LlamaIndex FAQ
Common questions about integrating Kelkoo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Kelkoo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.