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SimpleFatoora MCP Server for LlamaIndexGive LlamaIndex instant access to 20 tools to Check Simplefatoora Status, Create Credit Note, Create Customer, and more

Built by Vinkius GDPR 20 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SimpleFatoora as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The SimpleFatoora app connector for LlamaIndex is a standout in the Erp Operations category — giving your AI agent 20 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to SimpleFatoora. "
            "You have 20 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in SimpleFatoora?"
    )
    print(response)

asyncio.run(main())
SimpleFatoora
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High SecurityEnterprise-grade
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 SimpleFatoora MCP Server

Empower your AI agents to completely automate your billing and tax operations using the SimpleFatoora platform. With 20 dedicated tools, your AI can now programmatically generate all six ZATCA-compliant invoice types, validate tax compliance, manage customer and product catalogs, and issue credit notes directly from your natural language interface.

LlamaIndex agents combine SimpleFatoora tool responses with indexed documents for comprehensive, grounded answers. Connect 20 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Create ZATCA Phase 2 compliant invoices (B2C, B2B, Purchase)
  • Issue compliant credit and debit notes automatically
  • Manage product catalogs and VAT rates with full CRUD
  • Maintain customer profiles and tax registration numbers
  • Verify API keys and cryptographic stamps
  • Perform compliance verification checks

Who is it for?

Perfect for financial controllers, accountants, and businesses operating in Saudi Arabia that require strict ZATCA e-invoicing compliance combined with AI automation.

The SimpleFatoora MCP Server exposes 20 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 20 SimpleFatoora tools available for LlamaIndex

When LlamaIndex connects to SimpleFatoora through Vinkius, your AI agent gets direct access to every tool listed below — spanning e-invoicing, zatca-compliance, invoice-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_simplefatoora_status

Verify connectivity

create_credit_note

Create credit note

create_customer

Create a customer

create_debit_note

Create debit note

create_product

Create a product

create_simplified_invoice

Create B2C invoice

create_simplified_purchase

Create simplified purchase invoice

create_standard_purchase

Create standard purchase invoice

create_vat_invoice

Create B2B VAT invoice

delete_customer

Delete a customer

delete_product

Delete a product

get_customer

Get customer details

get_invoice

Get invoice details

get_product

Get product details

list_customers

List customers

list_invoices

List all invoices

list_products

List products

update_customer

Update a customer

update_product

Update a product

validate_api_key

Validate API key

Connect SimpleFatoora to LlamaIndex via MCP

Follow these steps to wire SimpleFatoora into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 20 tools from SimpleFatoora

Why Use LlamaIndex with the SimpleFatoora MCP Server

LlamaIndex provides unique advantages when paired with SimpleFatoora through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine SimpleFatoora tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain SimpleFatoora tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query SimpleFatoora, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what SimpleFatoora tools were called, what data was returned, and how it influenced the final answer

SimpleFatoora + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the SimpleFatoora MCP Server delivers measurable value.

01

Hybrid search: combine SimpleFatoora real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query SimpleFatoora to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SimpleFatoora for fresh data

04

Analytical workflows: chain SimpleFatoora queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for SimpleFatoora in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with SimpleFatoora immediately.

01

"Create a simplified B2C invoice for 3 items totaling 450 SAR in SimpleFatoora."

02

"List all customers in SimpleFatoora with their VAT registration numbers."

03

"Create a credit note for invoice #1234 in SimpleFatoora due to a partial return."

Troubleshooting SimpleFatoora MCP Server with LlamaIndex

Common issues when connecting SimpleFatoora to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SimpleFatoora + LlamaIndex FAQ

Common questions about integrating SimpleFatoora MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SimpleFatoora tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.