How to Use the LeafLink MCP in OpenAI Agents SDK

Build production-grade OpenAI Agents SDK workflows that manage LeafLink wholesale inventory and order updates without manual data entry.

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Connect LeafLink MCP to OpenAI Agents SDK

Create your Vinkius account to connect LeafLink 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.

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Setup LeafLink with OpenAI Agents SDK

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Automate Order Status Changes Safely

The `update_order_status` tool transitions wholesale orders through your fulfillment pipeline directly from your Python agent code using this lightweight MCP server. When a buyer submits a purchase, your agent verifies the details and moves the state from received to accepted without human intervention. OpenAI Agents SDK applies runtime guardrails to this transition, ensuring your agent never accidentally cancels a valid order. You get complete execution traces in your OpenAI dashboard to audit every wholesale status change.

Sync Inventory Levels Across Warehouses

The `update_product_inventory` tool modifies stock levels across your wholesale catalog to prevent overselling on the platform. Your agent runs this tool whenever physical inventory counts shift in your warehouse management system. Because the OpenAI Agents SDK manages state handoffs between specialized agents, you can distribute MCP tool execution across different roles. This division of labor keeps your Python code clean and prevents race conditions.

Create Catalog Items via OpenAI Agents SDK

The `create_new_product` tool adds new items to your wholesale cannabis catalog with complete pricing and strain data. Your agent automatically extracts these details from incoming brand sheets and writes them directly to the database. Connecting this MCP server to your SDK setup takes a single streamable HTTP configuration. Once connected, the agent auto-discovers the product creation schema so you do not have to write custom API wrappers.

Setup guide

Set up LeafLink MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all LeafLink tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives LeafLink tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate LeafLink tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="LeafLink Agent",
            instructions="You have access to LeafLink tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeafLink. 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 LeafLink MCP in OpenAI Agents SDK

Install the SDK via pip and initialize the HTTP server stream. Pass the Vinkius endpoint directly to your agent constructor to auto-discover all nine tools.

Yes. You can restrict tool access by defining specific agent roles in Python. This prevents a customer-facing agent from calling the inventory update tool while allowing it to read catalog data.

The server passes API responses directly to your agent. If you hit LeafLink rate boundaries, the SDK handles the retries based on your agent's safety parameters.

The agent receives the exact API error message. You can use the built-in tracing dashboard to inspect the payload and see why the order transition failed.

Your wholesale orders and buyer lists run inside an isolated V8 sandbox on Vinkius. No data is stored permanently on the server, and all API keys are encrypted at rest.

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