How to Use the Altoviz MCP in Mastra AI

Q: How do I register Altoviz tools inside a Mastra AI agent?

Import the @mastra/mcp package and instantiate the MCP client with the Vinkius URL. You then spread the server tools directly into your Mastra agent configuration.

Run automated Altoviz invoicing workflows with Mastra AI agents that handle retries and conditional branching.

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Connect Altoviz MCP to Mastra AI

Create your Vinkius account to connect Altoviz to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Altoviz with Mastra AI

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Automating Billing Retries with Mastra AI

The `get_sale_invoice_details` tool retrieves invoice metadata for your automated billing workflows. If an invoice lookup fails, Mastra AI doesn't just crash. It uses built-in exponential backoff to retry calling the tool until the Altoviz data is retrieved. The framework handles the state transitions automatically using the MCP protocol to fetch raw data.

Conditional Workflows for Altoviz Quotes

The `get_sale_quote_details` tool fetches quote metadata to drive conditional branching in your sales pipeline. Build smart business logic around your sales pipeline. When a Mastra AI agent calls the tool, you can branch the workflow depending on whether the quote is accepted or expired. You can route unpaid quotes to a follow-up sequence or trigger an internal alert based on the returned Altoviz metadata.

Human-in-the-Loop Expense Approval via MCP Server

The `list_receipts` tool pulls pending expenses for Mastra AI's human-in-the-loop approval steps. Prevent unauthorized expense tracking by requiring approval before registering new receipts. Your Mastra AI agent can call the tool to gather pending items, but pause before taking further action. The Mastra framework suspends the workflow until a human approves the step.

Setup guide

Set up Altoviz 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 Altoviz 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: "altoviz-mcp-client",
  servers: {
    "altoviz-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Altoviz. 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.

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Common questions about Altoviz MCP in Mastra AI

Import the `@mastra/mcp` package and instantiate the MCP client with the Vinkius URL. You then spread the server tools directly into your Mastra agent configuration.

Yes, you can write TypeScript workflows that inspect the output of `get_sale_quote_details` and branch your logic accordingly. This lets you build complex, automated sales pipelines.

Mastra AI has a built-in workflow engine that automatically retries failed tool executions like `list_sale_invoices`. You don't need to write manual try-catch loops for your billing runs.

No, Mastra AI auto-detects the transport type, whether it is SSE or Streamable HTTP. You only need to provide the Vinkius endpoint URL.

The framework processes all invoice details and sales quotes locally in your execution environment. Vinkius provides an isolated, zero-trust sandbox to run the MCP server tools, keeping your business data private.

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