Focus Logística MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Focus Logística through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"focus-logistica": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Focus Logística Agent",
instructions:
"You help users interact with Focus Logística " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Focus Logística?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Focus Logística MCP Server
Connect Focus Logística to any AI agent and manage your Brazilian cargo transport documentation — issue CT-e (Conhecimento de Transporte), MDF-e (Manifesto de Carga), close manifests, and download XMLs through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Focus Logística tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Emit CT-e — Issue transport invoices for all modalities (road, air, rail, waterway)
- Emit MDF-e — Create cargo manifests grouping multiple CT-e documents
- Consult Status — Check authorization and current status of CT-e and MDF-e
- Close Manifests — Mark MDF-e as finished/encerrado after delivery
- Cancel Documents — Cancel CT-e with valid justification
- Download XML — Retrieve XML for accounting and legal compliance
The Focus Logística MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Focus Logística to Mastra AI via MCP
Follow these steps to integrate the Focus Logística MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Focus Logística via MCP
Why Use Mastra AI with the Focus Logística MCP Server
Mastra AI provides unique advantages when paired with Focus Logística through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Focus Logística without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Focus Logística tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Focus Logística + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Focus Logística MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Focus Logística, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Focus Logística as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Focus Logística on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Focus Logística tools alongside other MCP servers
Focus Logística MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Focus Logística to Mastra AI via MCP:
cancel_cte
Cancel a CT-e
close_mdfe
Close/Finish a MDF-e
consult_cte
Consult CT-e status
consult_mdfe
Consult MDF-e status
download_xml
Download XML for CT-e or MDF-e
emit_cte
Emit a Conhecimento de Transporte (CT-e)
emit_mdfe
Emit Manifesto de Carga (MDF-e)
Example Prompts for Focus Logística in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Focus Logística immediately.
"Emit a CT-e for a freight of R$1,200.00 from SP to RJ."
"Close the MDF-e reference MDF-001."
"Download the XML for CT-e reference CTE-001."
Troubleshooting Focus Logística MCP Server with Mastra AI
Common issues when connecting Focus Logística to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFocus Logística + Mastra AI FAQ
Common questions about integrating Focus Logística MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Focus Logística with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Focus Logística to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.