How to Use the Alegra MCP in Mastra AI

Q: How do I add Alegra tools to a Mastra AI agent?

Install the @mastra/mcp package and instantiate your MCP client with the Alegra URL. You can then list the tools and spread them directly into your Mastra agent's tool configuration array to give it access to createinvoice.

Build resilient, automated LatAm accounting pipelines using Mastra AI agents and Alegra tools.

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Automated LatAm invoice retries with Mastra AI

Register `create_invoice` within your Mastra workflows to handle transient API failures during LatAm billing runs. By registering this MCP Server with Mastra, you can build workflows that automatically retry the action with exponential backoff if the network hiccups. The workflow engine handles the state so you don't lose track of pending transactions. If a tax authority server goes offline, your agent pauses the run. It uses `list_invoices` to verify the state before trying again, ensuring you never double-bill a client.

Conditional payment chasing workflows

Use `list_payments` to build complex branching logic that handles overdue accounts without manual intervention. Your agent can run scheduled checks to see who has paid, then branch based on the results. If a payment is missing, the agent pulls the contact details using `get_contact_details` and drafts a follow-up. You can set up conditional rules to escalate the issue if the balance remains unpaid. The agent can automatically check `list_estimates` to see if there are other open deals with the same customer before sending a stern reminder.

Multi-step inventory synchronization

Call `list_inventory_items` to keep your warehouse database and accounting platform aligned without manual data entry. Mastra's workflow engine can trigger a sync job that pulls your catalog, then updates your stock levels. If an item details mismatch is found, the agent uses `get_item_details` to resolve the discrepancy. This MCP Server prevents discrepancies between what your sales team sees and what is actually in stock. The agent can run these checks on a cron job, logging every step to make sure your inventory is always accurate.

Setup guide

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

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

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

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Common questions about Alegra MCP in Mastra AI

Install the `@mastra/mcp` package and instantiate your MCP client with the Alegra URL. You can then list the tools and spread them directly into your Mastra agent's tool configuration array to give it access to `create_invoice`.

Yes, you can use Mastra's tool approval middleware before running Alegra operations. When the Mastra agent tries to run `create_contact` or record a payment, the workflow pauses until an admin approves the action.

Mastra's workflow engine has built-in retry logic specifically tuned for external APIs like Alegra. If `list_invoices` hits a rate limit, the Mastra client automatically backs off and retries the request without crashing your agent.

Absolutely, you can deploy your Mastra workflows containing Alegra tools to any cloud provider with a single command. This keeps your automated LatAm invoicing pipelines running 24/7 without manual local hosting.

Yes, your Alegra contact records and client lists remain secure. The MCP client runs inside an ephemeral, zero-trust sandbox where your credentials are never stored or exposed to external LLMs.

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