How to Use the sevDesk MCP in Mastra AI

Q: What is the best way to handle new supplier creation in sevDesk and mastra-ai?

A robust workflow uses getcontact first. If a contact isn't found, it executes createcontact. The agent ensures this entire process finishes even if there are transient API errors.

Q: If I need to list accounting types in sevDesk and mastra-ai?

The agent can call listaccountingtypes as part of a larger, controlled sequence. This ensures that even if the listing fails initially, it will attempt retrieval again later.

Build complex sevDesk workflows that handle failures and retries with mastra-ai's reliable agent framework.

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…and any MCP-compatible client

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Connect sevDesk MCP to Mastra AI

Create your Vinkius account to connect sevDesk to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup sevDesk with Mastra AI

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Automated invoice reconciliation

The system can build multi-step flows to check for billing issues. For instance, it can first call `get_order` and then compare the total against a record from `list_invoices`. If they don't match, it triggers an automated workflow. This built-in conditional branching ensures that if one step fails—say, network error retrieving invoice details—it automatically retries using exponential backoff before notifying you.

Structured contact management

Need to onboard a new partner? The agent can execute complex sequences: first calling `get_contact` to check for existence, then if needed, invoking `create_contact`. It handles the entire lifecycle. Because it's built on stateful workflows, you get automatic retries. If the initial connection fails when writing a new record, mastra-ai doesn’t fail; it tries again later.

Complex part catalog updates

Use the agent to manage parts across multiple steps. A workflow can list all existing items using `list_parts`, filter them based on criteria, and then call `create_part` for any missing entries. If the API is temporarily down while writing new records, mastra-ai's failure handling kicks in. It backs off and tries again later, guaranteeing eventual delivery of your operational tasks.

Setup guide

Set up sevDesk MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All sevDesk tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "sevdesk-mcp-client",
  servers: {
    "sevdesk-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "sevDesk Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to sevDesk tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent sevDesk transactions"
);
console.log(result.text);

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Common questions about sevDesk MCP in Mastra AI

You build a workflow that first retrieves all sales orders via `list_orders`, then iterates through them, checking the corresponding invoices. The system handles retries if any single lookup fails.

A robust workflow uses `get_contact` first. If a contact isn't found, it executes `create_contact`. The agent ensures this entire process finishes even if there are transient API errors.

Absolutely. You can define conditional paths: 'IF payment fails, THEN retry using a different method; ELSE notify the admin.' This level of process control is exactly what mastra-ai offers.

The agent can call `list_accounting_types` as part of a larger, controlled sequence. This ensures that even if the listing fails initially, it will attempt retrieval again later.

This server touches financial documents (invoices, credit notes) and operational data like parts, orders, and contacts. The core data type is transactional record keeping.

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