How to Use the Simple Fatoora MCP in CrewAI

Q: How do I generate VAT invoices with Simple Fatoora using CrewAI?

You define a process where an 'Invoice Agent' calls createvatinvoice. The crew then uses another agent to validate the resulting invoice structure against compliance rules. It’s multi-step validation.

Q: What if I need to check my invoice history with Simple Fatoora using CrewAI?

The 'Audit Agent' handles this. It first calls listinvoices for all IDs, and then passes specific ID ranges to the system for detailed retrieval via getinvoice.

Q: Does Simple Fatoora handle client deletion with CrewAI?

The crew can execute a safe deletion process using deleteclient. The workflow ensures that all related records are checked before the final removal action is taken, minimizing data loss.

Orchestrate complex Simple Fatoora invoicing operations using CrewAI multi-agent teams.

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Automate B2B Compliance Checks

Set up a 'Compliance Agent' that uses `create_vat_invoice`. This agent takes item data and generates the invoice, ensuring it adheres to ZATCA requirements. A second 'Review Agent' can then check the returned QR code structure against regulatory rules. This role-based collaboration means you don't just create an invoice; you verify its compliance before payment is due.

Manage and Validate Client Data Sets

Assign a 'Data Agent' to handle client management. It can call `list_clients` to pull all records, or use the `update_client` tool if contact info changes. A third 'Validation Agent' confirms that the update was successful. This shared memory approach ensures every agent works off the most recent and accurate version of client data.

Process Simplified Invoicing Workflows

You can run a full workflow where one 'Input Agent' collects items, which are then passed to `create_simplified_invoice`. Another agent monitors the transaction status. This sequence is useful for batch processing B2C sales across many different products.

Setup guide

Set up Simple Fatoora MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Simple Fatoora tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Simple Fatoora Analyst",
    goal="Access and analyze Simple Fatoora data via MCP.",
    backstory="Expert analyst with direct Simple Fatoora access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Simple Fatoora transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Simple Fatoora Analyst",
        goal="Access and analyze Simple Fatoora data via MCP.",
        backstory="Expert analyst with direct Simple Fatoora access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Simple Fatoora transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

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Common questions about Simple Fatoora MCP in CrewAI

You define a process where an 'Invoice Agent' calls `create_vat_invoice`. The crew then uses another agent to validate the resulting invoice structure against compliance rules. It’s multi-step validation.

Yes, you assign a 'Client Manager Agent' to this task. This agent can use `list_clients` and then execute targeted actions like `get_client` or `update_client` based on your rules.

The 'Audit Agent' handles this. It first calls `list_invoices` for all IDs, and then passes specific ID ranges to the system for detailed retrieval via `get_invoice`.

The crew can execute a safe deletion process using `delete_client`. The workflow ensures that all related records are checked before the final removal action is taken, minimizing data loss.

The server handles core transaction documents: Invoice details, Client profiles, Item lists. The agents interact with structured records and tax calculation outputs.

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