Bring Invoicing
to LangChain
Create your Vinkius account to connect sevDesk to LangChain and start using all 15 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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 viacreate_contact - Autonomous Invoicing & Orders — Fetch paginated ledger lists using
list_invoicesorlist_orders, and delve deep into line items, calculated taxes, and due statuses directly usingget_invoiceandget_order - Inventory & Service Architecture — Monitor available billable components via
list_parts, inspect standard pricing, and introduce novel catalog options autonomously viacreate_part - Accounting Governance — Keep strict tabs on your chart of accounts with
list_accounting_typeswhile verifying associated business inlets securely usinglist_bank_accounts - Voucher & Credit Auditing — Consolidate physical receipts through
list_vouchersand trace structural adjustments flawlessly by scanninglist_credit_notes
How it works
- Install this module directly into your MCP-compatible IDE or conversational context
- Establish the secure connection effortlessly by injecting your 32-character hexadecimal
sevDesk API Token - Engage your AI explicitly: "What's the net total on invoice #392911, and who is the attached client?"
Who is this for?
- Freelancers & Solopreneurs — quickly ask your agent to draft new customer records and extract pending invoice tallies without leaving the editor
- Financial Auditors — instruct the AI to cross-reference registered parts and orders against generated credit notes natively
- Agency Managers — effortlessly check current bank configuration parameters and available accounting categories entirely via conversational prompts
Built-in capabilities (15)
Category 3 for customers, 4 for suppliers. Creates a new contact (customer or supplier) in sevDesk
Creates a new part or service in the catalog
Retrieves details for a specific contact
Retrieves details for a specific credit note
Retrieves details for a specific invoice, including line items and tax
Retrieves details for a specific order
Retrieves details for a specific part
Lists all accounting types (Chart of Accounts)
Lists company bank accounts
Lists all contacts (customers, suppliers) in sevDesk
Lists all credit notes
Lists all invoices with embedded contact data
Lists all sales orders
Lists all parts (products and services) in the catalog
Lists all vouchers (incoming/outgoing receipts)
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with sevDesk through native MCP adapters. Connect 15 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.
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The largest ecosystem of integrations, chains, and agents. combine sevDesk MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across sevDesk queries for multi-turn workflows
sevDesk in LangChain
Why run sevDesk with Vinkius?
The sevDesk connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 15 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect sevDesk using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
sevDesk and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect sevDesk to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
sevDesk for LangChain
Every request between LangChain and sevDesk is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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