Kelkoo MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Kelkoo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"kelkoo": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Kelkoo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Kelkoo through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Kelkoo MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Kelkoo via MCP
Why Use LangChain with the Kelkoo MCP Server
LangChain provides unique advantages when paired with Kelkoo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kelkoo MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Kelkoo queries for multi-turn workflows
Kelkoo + LangChain Use Cases
Practical scenarios where LangChain combined with the Kelkoo MCP Server delivers measurable value.
RAG with live data: combine Kelkoo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kelkoo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kelkoo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kelkoo tool call, measure latency, and optimize your agent's performance
Kelkoo MCP Tools for LangChain (8)
These 8 tools become available when you connect Kelkoo to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Kelkoo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKelkoo + LangChain FAQ
Common questions about integrating Kelkoo MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.