How to Use the Lexware Office (Accounting & Invoicing) MCP in OpenAI Agents SDK

Q: Can I use this MCP Server to reconcile German tax categories?

Yes, you can. The listpostingcategories tool exposes DATEV and internal accounts to your agent. This allows the agent to assign expenses to the correct tax bucket without guessing.

Q: Is there a way to verify credit notes using this MCP Server?

Absolutely. The listcreditnotes and listdeliverynotes tools let your agent inspect historical credits and shipping records. This is useful for matching physical deliveries with actual financial adjustments.

Stop wasting time on manual data entry. Connect this MCP Server to your OpenAI Agents SDK and automate your German bookkeeping.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lexware Office (Accounting & Invoicing) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lexware Office (Accounting & Invoicing) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Lexware Office (Accounting & Invoicing) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit vouchers and invoices with OpenAI Agents SDK

The `list_vouchers` tool on this MCP Server exposes a unified stream of invoices, credit notes, and expenses directly to your python agent. The agent uses this stream to pull raw transaction data, matching it against internal ledgers without manual intervention. You run this in production with the OpenAI tracing dashboard monitoring every call. Since the agent auto-discovers this tool, you skip writing custom API integrations and focus purely on your verification logic.

Safely create and update customer records

The `create_contact` tool lets your agent write new customer and vendor profiles directly into Lexware Office with correct formatting. It handles first names, last names, and specific roles so you don't mess up your database structure. Built-in guardrails in the SDK validate the agent's payload before execution. If the agent tries to send junk data, the system blocks the call, saving you from dirty CRM records.

Verify invoice statuses and payment terms

The `get_invoice` tool retrieves specific tax details, net values, and payment statuses like open, paid, or dunning. Your agent uses this data to track outstanding balances and alert your team when clients are late. By combining this with `list_payment_conditions`, the agent knows exactly when discounts apply. It calculates the correct payment window and updates your records without human errors.

Setup guide

Set up Lexware Office (Accounting & Invoicing) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lexware Office (Accounting & Invoicing) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lexware Office (Accounting & Invoicing) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lexware Office (Accounting & Invoicing) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lexware Office (Accounting & Invoicing) Agent",
            instructions="You have access to Lexware Office (Accounting & Invoicing) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lexware Office. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Lexware Office (Accounting & Invoicing) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lexware Office (Accounting & Invoicing) MCP in OpenAI Agents SDK

Install the package and point MCPServerStreamableHttp to the Vinkius endpoint. Pass the server instance directly to your agent constructor, and it will auto-discover all fourteen tools instantly.

Yes, you can. The `list_posting_categories` tool exposes DATEV and internal accounts to your agent. This allows the agent to assign expenses to the correct tax bucket without guessing.

You should set cacheToolsList=True in your configuration to avoid redundant schema lookups. For paginated tools like `list_invoices`, write your agent loop to fetch pages sequentially to respect Lexware Office API limits.

Absolutely. The `list_credit_notes` and `list_delivery_notes` tools let your agent inspect historical credits and shipping records. This is useful for matching physical deliveries with actual financial adjustments.

Your raw invoice details and contact records never touch third-party storage. All requests run through Vinkius's secure sandbox using your single endpoint token, ensuring direct, encrypted transit between OpenAI and Lexware.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript