How to Use the MRPeasy MCP in OpenAI Agents SDK
Connect your OpenAI Agents SDK to MRPeasy to track factory floor status and run automated inventory checks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MRPeasy MCP to OpenAI Agents SDK
Create your Vinkius account to connect MRPeasy to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Track manufacturing runs using this MCP Server
`list_manufacturing_orders` pulls live production runs directly into your OpenAI Agents SDK pipeline. You get immediate visibility into active jobs, quantities, and scheduled completion dates without manual portal lookups. The agent checks specific order holdups with `get_manufacturing_order` to spot material shortages on the fly. This keeps your production pipeline moving based on actual floor data instead of outdated spreadsheets.
Automate stock level audits directly
`list_stock_items` exposes your warehouse bin counts directly to your agent using the MCP standard. When inventory drops below safety stock levels, the SDK triggers automated alerts or prepares reorder drafts instantly. Your code queries `get_stock_item` to match physical counts with digital records. This prevents double-ordering raw materials and keeps your working capital free.
Coordinate vendor purchases and workstation loads
`list_work_stations` lets your agent monitor physical capacity before scheduling new manufacturing runs. By checking station availability first, you avoid bottlenecks on the assembly floor. The agent reads supplier details using `list_vendors` and drafts incoming shipments via `list_purchase_orders`. This keeps your supply chain aligned without constant human intervention.
Set up MRPeasy MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all MRPeasy tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives MRPeasy tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate MRPeasy tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="MRPeasy Agent",
instructions="You have access to MRPeasy tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MRPeasy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about MRPeasy MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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