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

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Simple Fatoora 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 Simple Fatoora app connector for LangChain 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 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({
        "simple-fatoora": {
            "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 Simple Fatoora, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Simple Fatoora
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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Simple Fatoora through native MCP adapters. Connect 11 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

  • 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 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 11 Simple Fatoora tools available for LangChain

When LangChain 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 LangChain via MCP

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

Why Use LangChain with the Simple Fatoora MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Simple Fatoora 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 Simple Fatoora queries for multi-turn workflows

Simple Fatoora + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Simple Fatoora in LangChain

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

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Simple Fatoora + LangChain FAQ

Common questions about integrating Simple Fatoora 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.