ManoMano (Home Improvement Marketplace) MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ManoMano (Home Improvement Marketplace) 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="ManoMano (Home Improvement Marketplace) Assistant",
instructions=(
"You help users interact with ManoMano (Home Improvement Marketplace). "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ManoMano (Home Improvement Marketplace)"
)
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 ManoMano (Home Improvement Marketplace) MCP Server
Connect your ManoMano Seller account to any AI agent and take full control of your marketplace operations and home improvement catalog through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from ManoMano (Home Improvement Marketplace) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ManoMano (Home Improvement Marketplace), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Offer Orchestration — List all published offers and retrieve detailed metadata including current stock, VAT-included pricing, and SKUs directly from your agent
- Live Catalog Updates — Safely modify VAT-included prices and update available inventory quantities for specific offers to maintain competitive market positioning
- Order Management — List all received orders and retrieve complete representations including customer details, delivery addresses, and individual line items securely
- Logistical Control — Acknowledge and accept pending orders or transition them to 'Shipped' status by supplying carrier-specific tracking numbers and carrier names
- Fulfillment Visibility — Monitor stock levels maintained through ManoFulfillment (ManoMano warehouse) to ensure logistical accuracy and product availability
- Taxonomy Discovery — Enumerate root category lists and registered brands to guide product mapping and architectural catalog taxonomy natively
The ManoMano (Home Improvement Marketplace) MCP Server exposes 11 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 ManoMano (Home Improvement Marketplace) to OpenAI Agents SDK via MCP
Follow these steps to integrate the ManoMano (Home Improvement Marketplace) 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 11 tools from ManoMano (Home Improvement Marketplace)
Why Use OpenAI Agents SDK with the ManoMano (Home Improvement Marketplace) MCP Server
OpenAI Agents SDK provides unique advantages when paired with ManoMano (Home Improvement Marketplace) 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
ManoMano (Home Improvement Marketplace) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ManoMano (Home Improvement Marketplace) MCP Server delivers measurable value.
Automated workflows: build agents that query ManoMano (Home Improvement Marketplace), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ManoMano (Home Improvement Marketplace), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ManoMano (Home Improvement Marketplace) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ManoMano (Home Improvement Marketplace) to resolve tickets, look up records, and update statuses without human intervention
ManoMano (Home Improvement Marketplace) MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect ManoMano (Home Improvement Marketplace) to OpenAI Agents SDK via MCP:
accept_order
Accept a pending ManoMano order
get_offer
Get details for a specific ManoMano offer (price, stock, SKU)
get_order
Get full order details including customer, addresses, and order lines
list_brands
List available brands on ManoMano
list_categories
List ManoMano catalog categories
list_fulfillment_stock
Check stock maintained through ManoFulfillment (ManoMano warehouse)
list_offers
List all published offers on ManoMano
list_orders
List all received ManoMano orders
ship_order
Ship an order by supplying a valid tracking number and carrier
update_offer_price
This is a reversible operation. Change the price of a specific offer
update_offer_stock
This is a reversible operation. Update the available stock count for a specific offer
Example Prompts for ManoMano (Home Improvement Marketplace) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ManoMano (Home Improvement Marketplace) immediately.
"List all ManoMano orders received today"
"Update the stock for offer 'offer-987' to 50 units"
"Show me the stock levels in ManoFulfillment"
Troubleshooting ManoMano (Home Improvement Marketplace) MCP Server with OpenAI Agents SDK
Common issues when connecting ManoMano (Home Improvement Marketplace) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ManoMano (Home Improvement Marketplace) + OpenAI Agents SDK FAQ
Common questions about integrating ManoMano (Home Improvement Marketplace) 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 ManoMano (Home Improvement Marketplace) 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 ManoMano (Home Improvement Marketplace) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.