How to Use the Uniconta MCP in Mastra AI

Q: Does Mastra AI support human review when running Uniconta processes?

Yes, it supports requireToolApproval. This means you can pause a critical financial workflow and demand a human sign-off before the next step executes.

Q: What data privacy considerations exist when using Mastra AI with Uniconta?

The server touches employee records (listemployees) and general ledger accounts. Handling these requires careful planning around access control and auditing.

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Connect Uniconta MCP to Mastra AI

Create your Vinkius account to connect Uniconta 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 Uniconta with Mastra AI

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Perplexity

Automated Journal Management

Need to process a complex accounting task? The `list_daily_journals` tool queries all General Ledger daily journals. If the first journal fails, Mastra AI automatically retries with exponential backoff. This reliability is key for mission-critical financial processes where failure isn't an option.

Multi-Step Debtor Workflow

Imagine a workflow: check the debtor status using `get_debtor_details`. If they are flagged, the agent then automatically runs `list_debtor_invoices` to gather evidence. This handles failures gracefully. The entire sequence of calls acts as one robust, retrying operation.

Comprehensive Account Audit

Running a full audit is simple here. You can chain together `list_gl_accounts` with `list_employees` to build a complete picture of the organization’s structure and accounts. This ensures that every required piece of financial data is collected, even if one endpoint needs multiple retries.

Setup guide

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

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

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

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Common questions about Uniconta MCP in Mastra AI

It manages automatic retries with exponential backoff. If a tool call fails temporarily, the agent doesn't quit; it tries again later to ensure data integrity.

You get access to all 8 MCP tools. These let you query anything from inventory items (`list_inventory_items`) to vendor lists and employee records.

Absolutely. You can define conditional branching, such as: 'if the debtor list is empty, then notify an admin.' The workflow executes complex logic reliably.

Yes, it supports `requireToolApproval`. This means you can pause a critical financial workflow and demand a human sign-off before the next step executes.

The server touches employee records (`list_employees`) and general ledger accounts. Handling these requires careful planning around access control and auditing.

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