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MAPA (Agricultura) MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Get Organization, Get Package, Get Resource, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MAPA (Agricultura) 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 MAPA (Agricultura) MCP Server for Mastra AI is a standout in the Government Public Data category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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: {
      "mapa-agricultura": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "MAPA (Agricultura) Agent",
    instructions:
      "You help users interact with MAPA (Agricultura) " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with MAPA (Agricultura)?"
  );
  console.log(result.text);
}

main();
MAPA (Agricultura)
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 MAPA (Agricultura) MCP Server

Connect your AI agent to the Brazilian Ministry of Agriculture and Livestock (MAPA) Open Data Portal. This server provides direct access to thousands of public datasets, enabling deep analysis of the Brazilian agribusiness sector.

Mastra's agent abstraction provides a clean separation between LLM logic and MAPA (Agricultura) tool infrastructure. Connect 8 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 packages and search for specific topics like 'Agrofit', 'Rural Credit', or 'Livestock'
  • Metadata Inspection — Fetch complete metadata for specific datasets to understand data provenance, update frequency, and coverage
  • Resource Access — Retrieve direct download URLs and file formats for specific data resources (CSV, PDF, XLS)
  • Organizational Mapping — List and inspect the various departments and organizations responsible for publishing agricultural data
  • Categorization — Browse data by groups and tags to discover related information across different agricultural domains

The MAPA (Agricultura) MCP Server exposes 8 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 8 MAPA (Agricultura) tools available for Mastra AI

When Mastra AI connects to MAPA (Agricultura) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, agribusiness, public-records, 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.

get

Get organization on MAPA (Agricultura)

Get details for a specific organization

get

Get package on MAPA (Agricultura)

Get metadata for a specific dataset (package)

get

Get resource on MAPA (Agricultura)

Get metadata for a specific resource

list

List groups on MAPA (Agricultura)

List all groups

list

List organizations on MAPA (Agricultura)

List all organizations

list

List packages on MAPA (Agricultura)

List all dataset names (packages)

list

List tags on MAPA (Agricultura)

List all tags

search

Search packages on MAPA (Agricultura)

g., "agrofit" or "organization:mapa"). Search for datasets matching a query

Connect MAPA (Agricultura) to Mastra AI via MCP

Follow these steps to wire MAPA (Agricultura) 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 8 tools from MAPA (Agricultura) via MCP

Why Use Mastra AI with the MAPA (Agricultura) MCP Server

Mastra AI provides unique advantages when paired with MAPA (Agricultura) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MAPA (Agricultura) 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 MAPA (Agricultura) 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

MAPA (Agricultura) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the MAPA (Agricultura) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query MAPA (Agricultura), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed MAPA (Agricultura) 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 MAPA (Agricultura) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using MAPA (Agricultura) tools alongside other MCP servers

Example Prompts for MAPA (Agricultura) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with MAPA (Agricultura) immediately.

01

"Search for datasets related to 'Agrofit' in the MAPA portal."

02

"List all organizations responsible for agricultural data."

03

"Get the metadata for the dataset 'registro-de-agrotoxicos'."

Troubleshooting MAPA (Agricultura) MCP Server with Mastra AI

Common issues when connecting MAPA (Agricultura) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

MAPA (Agricultura) + Mastra AI FAQ

Common questions about integrating MAPA (Agricultura) 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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