Constructor 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 Constructor 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="Constructor Assistant",
instructions=(
"You help users interact with Constructor. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Constructor"
)
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 Constructor MCP Server
Connect your Constructor.io account to any AI agent and take full control of your site search and product discovery workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Constructor through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Constructor, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- AI-Powered Search — Execute ML-ranked product retrieval dynamically mapped to e-commerce signals and user intent
- Predictive Autocomplete — Access fast predictive typing boundaries and trace exact matched categories for any partial query
- Dynamic Recommendations — Surface personalized products using collaborative filtering models and custom recommendation pods
- Category & Brand Browsing — Navigate through product directory trees and manufacturer taxonomies without any query bias
- Advanced Filtering — Apply strict attribute filters (colors, sizes, features) and custom sort rules to refine product discovery results
- Collection Management — Retrieve curated marketing clusters and static collections accurately for promotional auditing
The Constructor 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 Constructor to OpenAI Agents SDK via MCP
Follow these steps to integrate the Constructor 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 Constructor
Why Use OpenAI Agents SDK with the Constructor MCP Server
OpenAI Agents SDK provides unique advantages when paired with Constructor 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
Constructor + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Constructor MCP Server delivers measurable value.
Automated workflows: build agents that query Constructor, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Constructor, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Constructor tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Constructor to resolve tickets, look up records, and update statuses without human intervention
Constructor MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Constructor to OpenAI Agents SDK via MCP:
autocomplete
Perform structural extraction of properties driving active Account logic
browse_brand
Inspect deep internal arrays mitigating specific Plan Math
browse_category
Provision a highly-available JSON Payload generating hard Customer bindings
browse_collection
Identify precise active arrays spanning native Gateway auth
custom_search
Identify precise active arrays spanning native Hold parsing
get_recommendations
Retrieve explicit Cloud logging tracing explicit Vault limits
search_filtered
]` bounding JSON structures restricting arrays to exact colors/sizes or features. Irreversibly vaporize explicit validations extracting rich Churn flags
search_pagination
Dispatch an automated validation check routing explicit Gateway history
search_products
Identify bounded CRM records inside the Headless Constructor.io Platform
search_sorted
Enumerate explicitly attached structured rules exporting active Billing
Example Prompts for Constructor in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Constructor immediately.
"Search for 'running shoes' in Constructor"
"What products are recommended in the 'home-page-trending' pod?"
"Browse the 'Outdoor Furniture' category"
Troubleshooting Constructor MCP Server with OpenAI Agents SDK
Common issues when connecting Constructor to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Constructor + OpenAI Agents SDK FAQ
Common questions about integrating Constructor 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 Constructor 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 Constructor to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.