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

Built by Vinkius GDPR 20 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect SimpleFatoora through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The SimpleFatoora app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "simplefatoora": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using SimpleFatoora, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
SimpleFatoora
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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.

LangChain's ecosystem of 500+ components combines seamlessly with SimpleFatoora through native MCP adapters. Connect 20 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 20 tools from SimpleFatoora via MCP

Why Use LangChain with the SimpleFatoora MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine SimpleFatoora MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across SimpleFatoora queries for multi-turn workflows

SimpleFatoora + LangChain Use Cases

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

01

RAG with live data: combine SimpleFatoora tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query SimpleFatoora, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain SimpleFatoora tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every SimpleFatoora tool call, measure latency, and optimize your agent's performance

Example Prompts for SimpleFatoora in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SimpleFatoora + LangChain FAQ

Common questions about integrating SimpleFatoora MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.