Megaventory 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 Megaventory 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="Megaventory Assistant",
instructions=(
"You help users interact with Megaventory. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Megaventory"
)
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 Megaventory MCP Server
Connect your Megaventory account to any AI agent and take full control of your inventory management and order fulfillment through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Megaventory through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Megaventory, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Inventory Management — List all products, search by description, and fetch detailed SKU metadata
- Stock Tracking — Retrieve real-time stock levels across all configured inventory locations
- Order Orchestration — List and inspect sales orders and purchase orders with full status visibility
- Entity Management — Manage your directory of suppliers and clients directly from your agent
- Warehouse Oversight — Enumerate active inventory locations and their specific configurations
The Megaventory 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 Megaventory to OpenAI Agents SDK via MCP
Follow these steps to integrate the Megaventory 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 Megaventory
Why Use OpenAI Agents SDK with the Megaventory MCP Server
OpenAI Agents SDK provides unique advantages when paired with Megaventory 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
Megaventory + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Megaventory MCP Server delivers measurable value.
Automated workflows: build agents that query Megaventory, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Megaventory, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Megaventory tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Megaventory to resolve tickets, look up records, and update statuses without human intervention
Megaventory MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Megaventory to OpenAI Agents SDK via MCP:
get_product
Get details for a specific product SKU
get_product_stock
Get stock levels for a product SKU
get_purchase_order
Get details for a specific purchase order
get_sales_order
Get details for a specific sales order
list_inventory_locations
List all inventory locations
list_products
List all products
list_purchase_orders
List all purchase orders
list_sales_orders
List all sales orders
list_suppliers_clients
List all suppliers and clients
search_products
Search for products by description
Example Prompts for Megaventory in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Megaventory immediately.
"List all products in my Megaventory account."
"What is the stock level for SKU 'WID-001'?"
"Show the last 5 sales orders."
Troubleshooting Megaventory MCP Server with OpenAI Agents SDK
Common issues when connecting Megaventory to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Megaventory + OpenAI Agents SDK FAQ
Common questions about integrating Megaventory 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 Megaventory 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 Megaventory to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.