How to Use the SimpleFatoora MCP in OpenAI Agents SDK
Automate ZATCA compliance with SimpleFatoora using your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SimpleFatoora MCP to OpenAI Agents SDK
Create your Vinkius account to connect SimpleFatoora 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 full customer lifecycles via the MCP Server.
When you need to manage client records, start by getting a list of existing users using `list_customers`. You can then fetch specific details for any account with `get_customer`, or update information like addresses using `update_customer`. If an account is closed, running `delete_customer` handles the removal process. These tools let your agent manage customer data across multiple steps. It's perfect for building a deployment where one specialized agent hands off tasks to another, ensuring client records are always current before invoicing.
Generate all required SimpleFatoora document types.
The system handles every type of tax document needed. You can run `create_vat_invoice` for formal B2B transactions or use `create_simplified_invoice` when dealing with direct consumer sales (B2C). Need to record a return? Call `create_credit_note`. The agent ensures the correct tool is invoked based on the transaction type. This makes sure your deployed product handles complex financial logic correctly. It covers standard purchases (`create_standard_purchase`) right through to simple goods tracking via `list_products`.
Verify data integrity and API access for the OpenAI Agents SDK.
Before any transaction, your agent must validate credentials using `validate_api_key`. This prevents failed runs due to expired tokens. For product management, you can check current stock levels or details with `list_products` or `get_product`. Remember that all document creations require a valid key. These verification tools provide the guardrails needed for production work. The agent always confirms connectivity using `check_simplefatoora_status` before attempting any data writes.
Set up SimpleFatoora 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 SimpleFatoora tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives SimpleFatoora tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate SimpleFatoora 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="SimpleFatoora Agent",
instructions="You have access to SimpleFatoora 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 SimpleFatoora. 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 SimpleFatoora MCP in OpenAI Agents SDK
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