Are API-created contacts exactly the same as UI-created ones?

Yes contextually. When you execute the `create_contact` function natively alongside `category` parameters (`3` stands for customer, `4` for typical suppliers), sevDesk anchors these entries officially inside the identical primary table. Be clear about whether it's an email-lead versus a firm.

Wait, does my generated API Token expire if left unused?

No. The verified 32-character hexadecimal key token possesses an infinite lifeline inherently tied directly, securely, and stubbornly to your primary login account. It decays or dies primarily upon deliberate manual revocation (regeneration) directly executed by you inside your dashboard user settings.

Can I fetch detailed line items from a single invoice ID using this agent?

Absolutely. Querying `list_invoices` outputs high-level paginated arrays, but invoking the precision extractor `get_invoice` fed deliberately with a target identifier ID unveils the core metadata array detailing isolated tax mappings, due-date boundaries, and intricate line items.

sevDesk MCP Server for AutoGen 15 tools — connect in under 2 minutes

Name: sevDesk
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 15 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add sevDesk as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="sevdesk_agent",
            tools=tools,
            system_message=(
                "You help users with sevDesk. "
                "15 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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 sevDesk MCP Server

Grant your conversational AI (like Claude or Cursor) the power of a dedicated German accounting clerk. The sevDesk MCP transforms your LLM into a sophisticated financial nexus capable of creating invoices, querying past-due credit notes, recording vouchers, and tracking your CRM endpoints dynamically. Stop wrestling with browser-based accounting dashboards and let your AI manage your bookkeeping automatically.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use sevDesk tools. Connect 15 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Client & Supplier CRM Mastery — Read the entire client database via list_contacts, retrieve detailed metadata for specific IDs (get_contact), or seamlessly register brand new vendors via create_contact
Autonomous Invoicing & Orders — Fetch paginated ledger lists using list_invoices or list_orders, and delve deep into line items, calculated taxes, and due statuses directly using get_invoice and get_order
Inventory & Service Architecture — Monitor available billable components via list_parts, inspect standard pricing, and introduce novel catalog options autonomously via create_part
Accounting Governance — Keep strict tabs on your chart of accounts with list_accounting_types while verifying associated business inlets securely using list_bank_accounts
Voucher & Credit Auditing — Consolidate physical receipts through list_vouchers and trace structural adjustments flawlessly by scanning list_credit_notes

The sevDesk MCP Server exposes 15 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect sevDesk to AutoGen via MCP

Follow these steps to integrate the sevDesk MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 15 tools from sevDesk automatically

Why Use AutoGen with the sevDesk MCP Server

AutoGen provides unique advantages when paired with sevDesk through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use sevDesk tools to solve complex tasks

Role-based architecture lets you assign sevDesk tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive sevDesk tool calls

Code execution sandbox: AutoGen agents can write and run code that processes sevDesk tool responses in an isolated environment

sevDesk + AutoGen Use Cases

Practical scenarios where AutoGen combined with the sevDesk MCP Server delivers measurable value.

Collaborative analysis: one agent queries sevDesk while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from sevDesk, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using sevDesk data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process sevDesk responses in a sandboxed execution environment

sevDesk MCP Tools for AutoGen (15)

These 15 tools become available when you connect sevDesk to AutoGen via MCP:

create_contact

Category 3 for customers, 4 for suppliers. Creates a new contact (customer or supplier) in sevDesk

create_part

Creates a new part or service in the catalog

get_contact

Retrieves details for a specific contact

get_credit_note

Retrieves details for a specific credit note

get_invoice

Retrieves details for a specific invoice, including line items and tax

get_order

Retrieves details for a specific order

get_part

Retrieves details for a specific part

list_accounting_types

Lists all accounting types (Chart of Accounts)

list_bank_accounts

Lists company bank accounts

list_contacts

Lists all contacts (customers, suppliers) in sevDesk

list_credit_notes

Lists all credit notes

list_invoices

Lists all invoices with embedded contact data

list_orders

Lists all sales orders

list_parts

Lists all parts (products and services) in the catalog

list_vouchers

Lists all vouchers (incoming/outgoing receipts)

Example Prompts for sevDesk in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with sevDesk immediately.

"Extract the details of invoice #18742 and summarize its line items alongside the associated contact name."

"List all currently existing bank accounts natively integrated using the core config."

Troubleshooting sevDesk MCP Server with AutoGen

Common issues when connecting sevDesk to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

sevDesk + AutoGen FAQ

Common questions about integrating sevDesk MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call sevDesk tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.