How to Use the Doofinder MCP in OpenAI Agents SDK
Connect your OpenAI Agents SDK production system to Doofinder. Search, suggest, and audit your store data with native tool discovery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Doofinder MCP to OpenAI Agents SDK
Create your Vinkius account to connect Doofinder 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.
Full search control for OpenAI Agents SDK
Your agent can now execute precise queries using `search_keyword` and `search_filtered` to pull exact product data. It keeps your search logic tight and avoids unnecessary data bloat. By using `search_sorted` and `search_pagination`, your agent manages large result sets efficiently. It handles the heavy lifting so your production system stays fast and responsive.
Predictive search integration
The `suggest` tool allows your agent to offer real-time autocomplete results to your users. It turns basic search bars into active, helpful shopping assistants. It connects directly into your agent's decision loop. Your system identifies user intent faster and improves conversion without extra code.
Audit and monitor search analytics
Use `get_stats` to feed search performance data directly into your agent's monitoring logic. You get clear visibility into how users interact with your catalog. Combine this with `get_indices` and `get_items` to inspect your current setup. Your agent verifies that your product data matches the actual search results.
Set up Doofinder 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 Doofinder tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Doofinder tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Doofinder 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="Doofinder Agent",
instructions="You have access to Doofinder 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 Doofinder. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Doofinder MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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