Searchspring 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 Searchspring through the 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="Searchspring Assistant",
instructions=(
"You help users interact with Searchspring. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Searchspring"
)
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 Searchspring MCP Server
Connect your Searchspring store (now part of Athos Commerce) to any AI agent to interact with your e-commerce product catalog conversationally. Bring enterprise-grade site search and merchandising directly into your AI workflows without manually browsing storefronts.
The OpenAI Agents SDK auto-discovers all 10 tools from Searchspring through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Searchspring, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Product Discovery — Query your catalog using natural language, check stock availability, and pull in high-resolution product images and pricing
- Merchandising & Filtering — Narrow down thousands of SKUs using faceted parameters (size, color, brand) or strict price range thresholds instantly
- Autocomplete Trends — Expose the exact query suggestions (autocomplete) that your customers are seeing on the front-end to gauge search behavior
- Catalog Auditing — Browse through deep category trees or request specific details for a single SKU to verify if product metadata is synced correctly
The Searchspring 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 Searchspring to OpenAI Agents SDK via MCP
Follow these steps to integrate the Searchspring 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 Searchspring
Why Use OpenAI Agents SDK with the Searchspring MCP Server
OpenAI Agents SDK provides unique advantages when paired with Searchspring 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
Searchspring + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Searchspring MCP Server delivers measurable value.
Automated workflows: build agents that query Searchspring, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Searchspring, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Searchspring tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Searchspring to resolve tickets, look up records, and update statuses without human intervention
Searchspring MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Searchspring to OpenAI Agents SDK via MCP:
search_brand
Lists products from a specific brand
search_category
g., "Mens>Shoes"). Lists products within a specific category hierarchy
search_custom
Performs a search with custom Searchspring parameters
search_filtered
Format: "key:value,key2:value2". Performs a filtered product search
search_pagination
Retrieves a specific page of search results
search_price_range
Searches for products within a specific price range
search_products
Searches for products in the Searchspring catalog
search_sku
Retrieves details for a specific product SKU
search_sorted
Format: "key:direction" (e.g., "price:asc"). Performs a sorted product search
suggest_queries
Retrieves autocomplete query suggestions
Example Prompts for Searchspring in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Searchspring immediately.
"Search our catalog for 'wireless headphones' and sort the results by price in ascending order."
"Fetch the product specs and current availability for SKU 'LPTOM-415'."
"Find all products by the brand 'Nike' that cost between $50 and $100."
Troubleshooting Searchspring MCP Server with OpenAI Agents SDK
Common issues when connecting Searchspring to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Searchspring + OpenAI Agents SDK FAQ
Common questions about integrating Searchspring 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 Searchspring 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 Searchspring to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.