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MAPA (Agricultura) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Get Organization, Get Package, Get Resource, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MAPA (Agricultura) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The MAPA (Agricultura) MCP Server for OpenAI Agents SDK 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="MAPA (Agricultura) Assistant",
            instructions=(
                "You help users interact with MAPA (Agricultura). "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from MAPA (Agricultura)"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 8 tools from MAPA (Agricultura) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MAPA (Agricultura), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire MAPA (Agricultura) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from MAPA (Agricultura)

Why Use OpenAI Agents SDK with the MAPA (Agricultura) MCP Server

OpenAI Agents SDK provides unique advantages when paired with MAPA (Agricultura) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

MAPA (Agricultura) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the MAPA (Agricultura) MCP Server delivers measurable value.

01

Automated workflows: build agents that query MAPA (Agricultura), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries MAPA (Agricultura), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through MAPA (Agricultura) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query MAPA (Agricultura) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for MAPA (Agricultura) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting MAPA (Agricultura) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

MAPA (Agricultura) + OpenAI Agents SDK FAQ

Common questions about integrating MAPA (Agricultura) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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