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Rio Grande do Sul (Dados RS) MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to List Datasets, List Groups, List Organizations, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Rio Grande do Sul (Dados RS) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Rio Grande do Sul (Dados RS) MCP Server for Mastra AI is a standout in the Data Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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: {
      "rio-grande-do-sul-dados-rs": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Rio Grande do Sul (Dados RS) Agent",
    instructions:
      "You help users interact with Rio Grande do Sul (Dados RS) " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Rio Grande do Sul (Dados RS)?"
  );
  console.log(result.text);
}

main();
Rio Grande do Sul (Dados RS)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Rio Grande do Sul (Dados RS) MCP Server

Connect to the Dados RS portal and explore the public data infrastructure of Rio Grande do Sul, Brazil. This server allows any AI agent to interact with the state's CKAN-based repository to find, inspect, and analyze government information.

Mastra's agent abstraction provides a clean separation between LLM logic and Rio Grande do Sul (Dados RS) tool infrastructure. Connect 11 tools through 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

  • Dataset Discovery — List all available datasets or search for specific topics like health, education, or finance using keywords.
  • Organization Insights — Explore the government bodies (organizations) that publish data and list their specific contributions.
  • Thematic Browsing — Navigate data through thematic groups such as 'Environment', 'Security', or 'Economy'.
  • Deep Data Querying — Access tabular data within resources using filters or execute complex SQL queries directly against the DataStore.
  • Resource Inspection — Fetch metadata for specific files, links, and data distributions to understand their structure before downloading.

The Rio Grande do Sul (Dados RS) MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Rio Grande do Sul (Dados RS) tools available for Mastra AI

When Mastra AI connects to Rio Grande do Sul (Dados RS) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, brazil, public-sector, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List datasets on Rio Grande do Sul (Dados RS)

List all datasets (packages)

list

List groups on Rio Grande do Sul (Dados RS)

List groups

list

List organizations on Rio Grande do Sul (Dados RS)

List organizations

search

Search datasets on Rio Grande do Sul (Dados RS)

Search datasets (packages)

search

Search datastore on Rio Grande do Sul (Dados RS)

Search DataStore

search

Search datastore sql on Rio Grande do Sul (Dados RS)

SQL Query on DataStore

search

Search resources on Rio Grande do Sul (Dados RS)

Search resources

show

Show dataset on Rio Grande do Sul (Dados RS)

Show dataset details

show

Show group on Rio Grande do Sul (Dados RS)

Show group details

show

Show organization on Rio Grande do Sul (Dados RS)

Show organization details

show

Show resource on Rio Grande do Sul (Dados RS)

Show resource details

Connect Rio Grande do Sul (Dados RS) to Mastra AI via MCP

Follow these steps to wire Rio Grande do Sul (Dados RS) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from Rio Grande do Sul (Dados RS) via MCP

Why Use Mastra AI with the Rio Grande do Sul (Dados RS) MCP Server

Mastra AI provides unique advantages when paired with Rio Grande do Sul (Dados RS) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Rio Grande do Sul (Dados RS) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Rio Grande do Sul (Dados RS) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Rio Grande do Sul (Dados RS) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Rio Grande do Sul (Dados RS) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Rio Grande do Sul (Dados RS), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Rio Grande do Sul (Dados RS) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Rio Grande do Sul (Dados RS) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Rio Grande do Sul (Dados RS) tools alongside other MCP servers

Example Prompts for Rio Grande do Sul (Dados RS) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Rio Grande do Sul (Dados RS) immediately.

01

"Search for datasets about 'educação' in Rio Grande do Sul."

02

"List all government organizations available on the Dados RS portal."

03

"Show the details for the dataset 'receita-corrente-liquida'."

Troubleshooting Rio Grande do Sul (Dados RS) MCP Server with Mastra AI

Common issues when connecting Rio Grande do Sul (Dados RS) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Rio Grande do Sul (Dados RS) + Mastra AI FAQ

Common questions about integrating Rio Grande do Sul (Dados RS) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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