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How to Use the Conta Azul MCP in Mastra AI

Build complex financial workflows in Mastra AI. Automate your Conta Azul operations with conditional logic and error handling.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Conta Azul MCP to Mastra AI

Create your Vinkius account to connect Conta Azul 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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Automate Conta Azul with Mastra AI

Create agent workflows that chain `list_sales` and `list_bank_accounts` to reconcile your books automatically. Mastra handles the branching logic if a step fails. Your agents can monitor for unpaid invoices by iterating through `list_sales`. They take action based on the results they find.

Conditional financial logic

Set up agents to verify customer status using `get_customer` before creating new records. If the search turns up empty, the agent triggers `create_customer` to fill the gap. This workflow engine ensures your data stays clean. You define the rules, and the agent executes them against your account.

Standardized ERP operations

Deploy agents that handle repetitive tasks like mapping `create_product` or `create_service` entries. Your agents ensure every item follows your internal financial taxonomy. They verify categories using `list_categories` before committing any change. This prevents errors in your accounting records.

Setup guide

Set up Conta Azul 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Conta Azul tools become native Mastra tools.

  4. 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: "conta-azul-mcp-client",
  servers: {
    "conta-azul-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Conta Azul MCP in Mastra AI

Yes, you can build a workflow that polls `list_nfe` and triggers alerts. It runs on a schedule you define.
You can configure automatic retries with backoff. If a tool call fails, the agent tries again before notifying you.
The sandbox environment keeps your data private. We use ephemeral sessions that clear after your workflow finishes.
Yes, you loop through your product list and call `create_product` for each item. The agent manages the sequence.
They are never exposed to the agent. The server uses an endpoint token to keep your login details isolated.

Start using the Conta Azul MCP today

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