How to Use the Cuiabá Transparency MCP in Mastra AI

Build automated oversight workflows for Cuiabá data using the Mastra AI agent framework.

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Connect Cuiabá Transparency MCP to Mastra AI

Create your Vinkius account to connect Cuiabá Transparency 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 Cuiabá Transparency with Mastra AI

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Automated personnel audits with Mastra AI

Set up a workflow that runs `list_personnel` on a schedule to watch for changes in city staffing. You can trigger alerts if specific roles shift. Mastra AI handles the retries if the network blips. Your agent maintains the state while the server pulls the data.

Conditional revenue monitoring via Mastra AI

Use `list_revenues` to build a branch in your agent logic that reacts to collection drops. If the numbers fall below a threshold, the agent notifies your admin. You gain a reactive system that manages city tax information without manual intervention. The framework manages the sequence of operations.

Contract verification pipelines for Mastra AI

Connect `list_contracts` to your agent to check new tenders against your internal criteria. You can reject or flag entries automatically. The agent framework ensures each step completes before moving to the next. It makes the transparency data actionable for your team.

Setup guide

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

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

const result = await agent.generate(
  "List recent Cuiabá Transparency 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 Cuiabá Transparency Portal. 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.

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Common questions about Cuiabá Transparency MCP in Mastra AI

Register the server URL in your agent configuration and assign the tools to your tasks. Mastra AI will handle the execution flow.

You can. Build a workflow that cycles through the data tools and compiles the findings into a report for your team.

It does. Enable human-in-the-loop features to review any data queries before the agent proceeds with the next step.

The framework includes built-in retries with exponential backoff. If a request fails, it attempts the call again automatically.

Access is restricted to your specific agent instance. We use ephemeral containers to ensure that public servant names and salary data are never cached between sessions.

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