LeafLink MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LeafLink 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="LeafLink Assistant",
instructions=(
"You help users interact with LeafLink. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LeafLink"
)
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 LeafLink MCP Server
Connect your LeafLink account to any AI agent to automate your cannabis wholesale operations. This MCP server enables your agent to manage product listings, monitor real-time inventory, and track received orders directly from natural language.
The OpenAI Agents SDK auto-discovers all 9 tools from LeafLink through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LeafLink, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Oversight — List and retrieve detailed information for all wholesale orders received from buyers
- Inventory Visibility — Get real-time stock levels and availability for your entire product catalog
- Catalog Management — List, retrieve, create, and update products including pricing and metadata
- Status Transitions — Move orders through their lifecycle (accept, fulfill, cancel) via simple commands
- Partner Tracking — List registered brands and buyers to maintain clear visibility of your wholesale network
The LeafLink MCP Server exposes 9 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 LeafLink to OpenAI Agents SDK via MCP
Follow these steps to integrate the LeafLink 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 9 tools from LeafLink
Why Use OpenAI Agents SDK with the LeafLink MCP Server
OpenAI Agents SDK provides unique advantages when paired with LeafLink 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
LeafLink + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LeafLink MCP Server delivers measurable value.
Automated workflows: build agents that query LeafLink, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries LeafLink, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LeafLink tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LeafLink to resolve tickets, look up records, and update statuses without human intervention
LeafLink MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect LeafLink to OpenAI Agents SDK via MCP:
create_new_product
Requires a JSON body with product details. Add a new product to your wholesale catalog
get_order_details
Get details for a specific order
get_product_details
Get details for a specific product
list_received_orders
List all wholesale orders received
list_wholesale_brands
List all brands in your account
list_wholesale_customers
List all buyers and customers
list_wholesale_products
List all products available in your inventory
update_order_status
g., accept, fulfill, cancel, reject). Transition an order through its lifecycle
update_product_inventory
Update inventory level for a specific product
Example Prompts for LeafLink in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LeafLink immediately.
"Show me all active wholesale orders in LeafLink."
"Check the inventory level for 'Sour Diesel Flower 3.5g'."
"Accept the order #ORD-101."
Troubleshooting LeafLink MCP Server with OpenAI Agents SDK
Common issues when connecting LeafLink to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LeafLink + OpenAI Agents SDK FAQ
Common questions about integrating LeafLink 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 LeafLink 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 LeafLink to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.