How to Use the Simple Fatoora MCP in OpenAI Agents SDK
Simple Fatoora for OpenAI Agents SDK: Build reliable, production-grade invoicing agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Simple Fatoora MCP to OpenAI Agents SDK
Create your Vinkius account to connect Simple Fatoora to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Manage Client Records
The `list_clients` tool lets your agent pull all client details at once. You can then use `get_client` to check specific accounts before making a charge. Need an account that doesn't exist? Just run `create_client`. It handles the initial setup, so you don't have to worry about manual data entry.
Generate B2B VAT Invoices
When running a business-to-business sale, use `create_vat_invoice`. This tool automatically incorporates complex tax calculations and generates the necessary QR code data. It's built for ZATCA compliance. For simpler sales, you can trigger `create_simplified_invoice` to generate B2C receipts. Both functions take item details as a JSON string, keeping the process tight.
Maintain Product Catalog
Keep your inventory fresh using the `list_items` tool. It shows every product SKU you've recorded. If an item changes—say, the price or description—you just call `create_item`. This keeps the source of truth accurate for all future billing cycles.
Set up Simple Fatoora 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 Simple Fatoora tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Simple Fatoora tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Simple Fatoora 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="Simple Fatoora Agent",
instructions="You have access to Simple Fatoora 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 Simple Fatoora. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Simple Fatoora MCP in OpenAI Agents SDK
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