Doofinder MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Doofinder through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Doofinder Assistant",
instructions=(
"You help users interact with Doofinder. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Doofinder"
)
print(result.final_output)
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 Doofinder MCP Server
Connect your Doofinder account to any AI agent and take full control of your e-commerce search and discovery workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Doofinder through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Doofinder, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- AI-Powered Keyword Search — Identify bounded routing spaces inside the headless Doofinder platform and extract explicitly attached REST arrays targeting specific search queries
- Advanced Filtering — Perform structural extraction of properties driving active Account logic by applying facet filters like brand, color, or price range
- Predictive Suggestions — Enumerate explicitly attached structured rules to extract fast predictive nodes directly tracking search limits for partial queries
- Smart Sorting — Provision highly-available JSON payloads to generate hard customer bindings with custom sort directions like 'price:asc' or 'relevance:desc'
- Search Engine Oversight — Command automated validation checks routing explicit gateway history to dump all isolated tenant indexes mapping explicit hash strings
- Index & Item Auditing — Inspect deep internal arrays to sync un-cached raw catalog limits and verify the exact data structures defining your product graph
- Performance Analytics — Identify precise active arrays spanning native hold parsing to capture exact CTR, click limits, and query velocity numbers
The Doofinder MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Doofinder to OpenAI Agents SDK via MCP
Follow these steps to integrate the Doofinder MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Doofinder
Why Use OpenAI Agents SDK with the Doofinder MCP Server
OpenAI Agents SDK provides unique advantages when paired with Doofinder through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Doofinder + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Doofinder MCP Server delivers measurable value.
Automated workflows: build agents that query Doofinder, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Doofinder, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Doofinder tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Doofinder to resolve tickets, look up records, and update statuses without human intervention
Doofinder MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Doofinder to OpenAI Agents SDK via MCP:
get_indices
Identify precise active arrays spanning native Gateway auth
get_items
Inspect deep internal arrays mitigating specific Plan Math
get_search_engines
Dispatch an automated validation check routing explicit Gateway history
get_stats
Identify precise active arrays spanning native Hold parsing
search_custom
Irreversibly vaporize explicit validations extracting rich Churn flags
search_filtered
]` bounding exactly custom limits cutting off unrelated SKU branches. Perform structural extraction of properties driving active Account logic
search_keyword
Identify bounded CRM records inside the Headless Doofinder Platform
search_pagination
Retrieve explicit Cloud logging tracing explicit Vault limits
search_sorted
Provision a highly-available JSON Payload generating hard Customer bindings
suggest
Enumerate explicitly attached structured rules exporting active Billing
Example Prompts for Doofinder in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Doofinder immediately.
"Search for 'summer shoes' in Doofinder"
"Show me the search stats for the last 7 days"
"Get suggestions for partial query 'iph'"
Troubleshooting Doofinder MCP Server with OpenAI Agents SDK
Common issues when connecting Doofinder to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Doofinder + OpenAI Agents SDK FAQ
Common questions about integrating Doofinder MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Doofinder 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 Doofinder to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.