How to Use the SimpleFatoora MCP in LlamaIndex

Q: How does SimpleFatoora and LlamaIndex improve data retrieval?

LlamaIndex takes the structured output from tools like getinvoice and turns it into semantic knowledge. You stop asking for raw data structures and start querying concepts based on that API data.

Q: Does SimpleFatoora handle VAT documents when indexed with LlamaIndex?

Yes, the createvatinvoice and related tools generate auditable records. By indexing these results, you create a searchable record of all B2B transactions.

Ground your AI knowledge base with LlamaIndex using SimpleFatoora's live e-invoicing data.

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Connect SimpleFatoora MCP to LlamaIndex

Create your Vinkius account to connect SimpleFatoora to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SimpleFatoora with LlamaIndex

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Indexing Historical Transactions

When you use `list_invoices`, the result isn’t just a list; it becomes indexed knowledge. You can then query past transactions—for example, 'Find all credit notes created for Customer X last month'—and get answers grounded in actual SimpleFatoora API data. This turns raw data output into searchable memory for your RAG application.

Deep Product Knowledge Search

Don't just call `get_product`. Indexing product details allows you to ask complex, natural language questions like, 'What are the tax implications of a standard purchase using this SKU?' The model references the live data from your MCP Server. This ability lets the agent answer questions that require synthesizing multiple data points.

Retrieving Customer History

The `list_customers` tool output can be indexed. Instead of just retrieving a list, you ask your agent to 'Summarize all interactions with Acme Corp.' The system pulls the relevant customer records and presents an answer based on that historical knowledge. This is how LlamaIndex makes API calls feel like querying a live database.

Setup guide

Set up SimpleFatoora MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all SimpleFatoora MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to SimpleFatoora tools.",
)
response = await agent.run("List recent SimpleFatoora data")

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Common questions about SimpleFatoora MCP in LlamaIndex

LlamaIndex takes the structured output from tools like `get_invoice` and turns it into semantic knowledge. You stop asking for raw data structures and start querying concepts based on that API data.

You feed the results of your MCP Server calls—like a list of products or customers—into an index. This allows subsequent queries to reference that data without needing another explicit tool call.

Yes, the `create_vat_invoice` and related tools generate auditable records. By indexing these results, you create a searchable record of all B2B transactions.

You can index past API calls to build a knowledge base of successful operations and configuration changes. This means the system learns from your usage patterns over time.

The server touches customer details, product listings, invoices (all types), and API keys. LlamaIndex allows you to build a knowledge index around all this sensitive information.

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