How to Use the Focus Admin MCP in Mastra AI

Build reliable tax compliance workflows in Mastra AI. Automate your Focus Admin tasks with conditional logic and built-in retries.

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Connect Focus Admin MCP to Mastra AI

Create your Vinkius account to connect Focus Admin 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 Focus Admin with Mastra AI

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Perplexity

Automated fiscal workflows in Mastra AI

Chain `list_nfse_received` with your own validation logic to flag documents for review. Mastra AI handles the branching if a document requires manual attention. This turns your tax process into a robust pipeline. The MCP Server provides the raw data, and your agent decides the next step based on your business rules.

Resilient document management

Use `inutilize_numbering` within your agent workflows to handle gaps automatically. If the API returns a transient error, the agent retries the call without human input. It makes your fiscal operations predictable. You define the success criteria, and the agent executes the sequence while tracking state.

Multi-step event processing

Integrate `distribute_dfe` and `download_event_xml` to keep your local records synced. The agent monitors the NSU and pulls updates whenever they appear. Your fiscal records stay updated without manual triggers. It gives you an audit trail that builds itself in the background.

Setup guide

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

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

const result = await agent.generate(
  "List recent Focus Admin 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 Focus NFe. 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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Common questions about Focus Admin MCP in Mastra AI

Import the MCP client into your Mastra project and add the tools to your agent definition. It automatically detects the transport and maps the tools for you.

Yes, you can enable human-in-the-loop requirements for any tool. This ensures you review sensitive actions like cancelling an NF-e before the agent executes the request.

The server is compatible with the Mastra workflow engine's retry mechanisms. If an API call fails, the framework can automatically re-run the tool based on your policy.

We enforce strict token-based authentication for all requests. No data is stored on the server beyond the ephemeral session required to process your tool calls.

The tools interact with your NF-e and NFS-e metadata and raw XML files. These documents are fetched directly from the Focus NFe API sandbox or production environment.

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