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Simple Fatoora MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Client, Create Item, Create Simplified Invoice, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Simple Fatoora 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 Simple Fatoora app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 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 Simple Fatoora. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Simple Fatoora
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* 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 Simple Fatoora MCP Server

Connect your Simple Fatoora account to any AI agent and take full control of your e-invoicing and business financial orchestration through natural conversation. Simple Fatoora provides a specialized platform for creating ZATCA-compliant invoices and managing small business accounting, and this integration allows you to retrieve invoice metadata, manage client databases, and track inventory directly from your chat interface.

LlamaIndex agents combine Simple Fatoora tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Invoicing Orchestration — Create simplified and VAT invoices programmatically to ensure your billing is always compliant and efficient.
  • Client Lifecycle Management — List all managed clients and retrieve detailed profile metadata, including contact and tax info directly from the AI interface.
  • Inventory & Item Control — Access and monitor your item database to keep your product and service catalog updated via natural language.
  • Financial Monitoring — Retrieve and monitor invoice statuses to ensure your accounts receivable are always synchronized.
  • Operational Oversight — Track account activity and manage inventory items using simple AI commands to streamline your business workflows.

The Simple Fatoora MCP Server exposes 11 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 11 Simple Fatoora tools available for LlamaIndex

When LlamaIndex connects to Simple Fatoora through Vinkius, your AI agent gets direct access to every tool listed below — spanning e-invoicing, zatca-compliance, tax-calculation, 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.

create_client

Create a new client

create_item

Create a new item

create_simplified_invoice

Pass items as a JSON string. Create a Simplified Tax Invoice (B2C)

create_vat_invoice

Pass items as a JSON string. Create a VAT Tax Invoice (B2B)

delete_client

Delete a client

get_client

Get client details by ID

get_invoice

Get invoice details by ID

list_clients

List all clients

list_invoices

List all invoices

list_items

List all items/products

update_client

Update an existing client

Connect Simple Fatoora to LlamaIndex via MCP

Follow these steps to wire Simple Fatoora 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 11 tools from Simple Fatoora

Why Use LlamaIndex with the Simple Fatoora MCP Server

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

01

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

02

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

03

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

04

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

Simple Fatoora + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Simple Fatoora 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 Simple Fatoora for fresh data

04

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

Example Prompts for Simple Fatoora in LlamaIndex

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

01

"List all active invoices in Simple Fatoora."

02

"Create a simplified invoice for client 'John Miller' with a 'Consultation' item for 500 SAR."

03

"Search for a client named 'Acme Corp' in my database."

Troubleshooting Simple Fatoora MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Simple Fatoora + LlamaIndex FAQ

Common questions about integrating Simple Fatoora 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 Simple Fatoora 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.