How to Use the Kelkoo MCP in OpenAI Agents SDK
Plug the Kelkoo catalog into your OpenAI Agents SDK production pipeline to pull real-time retail pricing and merchant data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kelkoo MCP to OpenAI Agents SDK
Create your Vinkius account to connect Kelkoo to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Query live retail offers via OpenAI Agents SDK
Your agent can now hit the Kelkoo API to fetch granular product data. Use `search_offers` to get live pricing across specific regions, then feed that into your reasoning loop for price comparison tasks. This MCP Server handles the request structure so your agent stays focused on the logic. You get clean, structured data back from `get_offer_details` without manual parsing.
Navigate retail categories with OpenAI Agents SDK
Map out complex inventory trees using `get_category_tree` and `list_categories`. Your agent can drill down into specific departments to refine search parameters before executing a query. This keeps your agent's search scope narrow. By utilizing `list_merchants` and `list_countries` first, you ensure the agent only interacts with valid, active retail endpoints.
Track affiliate performance in OpenAI Agents SDK
Pull your publisher reporting summary directly into your agent's context. The `get_reporting_summary` tool gives you an immediate look at your performance metrics without leaving your dev environment. You can even pair this with `search_coupons` to see if specific discount codes impact your conversion rates. It’s a direct line to your data.
Set up Kelkoo MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Kelkoo tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Kelkoo tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Kelkoo tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Kelkoo Agent",
instructions="You have access to Kelkoo tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kelkoo. 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 Kelkoo MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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