How to Use the MAPA (Agricultura) MCP in AutoGen

Q: How do I load the MAPA (Agricultura) tools into AutoGen?

Install autogen-extmcp. Use mcpservertools with your StreamableHttpServerParams to load the endpoints. Pass the resulting list into your AssistantAgent constructor.

Q: Can multiple AutoGen agents use the MAPA (Agricultura) MCP Server simultaneously?

Yes. The McpToolAdapter converts the schema so any agent in the conversation can invoke tools like listpackages or getresource when it is their turn to speak.

Deploy AutoGen agents that debate and analyze Brazilian agricultural data by querying the ministry's open records together.

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Connect MAPA (Agricultura) MCP to AutoGen

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Setup MAPA (Agricultura) with AutoGen

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Claude

Perplexity

Multi-agent debate on agricultural statistics

One agent is tasked with finding crop yield trends using this MCP Server. It calls `search_packages` to locate the data. A second agent, acting as a data quality reviewer, looks at the results and demands more context. It forces the first agent to run `get_package` to verify the dataset's update frequency. They discuss the findings in plain text. The reviewer points out that the data might be stale based on the metadata, prompting the search agent to query a different keyword. You get a fully vetted answer instead of a blind extraction.

Navigate MAPA (Agricultura) as a team

You can assign specific roles to your AutoGen agents to navigate the MAPA database. A mapping agent runs `list_organizations` and `list_groups` to understand the ministry's structure. It builds a directory of departments responsible for different rural sectors. When a user asks a complex question about pesticide regulations, the mapping agent tells the research agent exactly which organization to target. The research agent then uses `get_organization` to pull the specific contact and publishing details.

Delegate resource extraction via MCP Server

Finding the agricultural data via this server is only half the job. Once the team agrees on a dataset, an extraction agent takes over. It executes `get_resource` to pull the file format and URL. A security agent reviews the URL provided by the tool output to ensure it points to a valid government domain before allowing the system to download the file. The agents handle the entire verification process autonomously.

Setup guide

Set up MAPA (Agricultura) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes MAPA (Agricultura) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="MAPA (Agricultura)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MAPA (Agricultura) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="MAPA (Agricultura)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MAPA (Agricultura) data")
    print(result.messages[-1].content)

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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 MAPA (Agricultura). 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 MAPA (Agricultura) MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with your `StreamableHttpServerParams` to load the endpoints. Pass the resulting list into your `AssistantAgent` constructor.

Yes. The `McpToolAdapter` converts the schema so any agent in the conversation can invoke tools like `list_packages` or `get_resource` when it is their turn to speak.

Another agent in the chat can catch the mistake. If the first agent pulls irrelevant data, a validation agent can read the chat history, point out the error, and suggest a better search query.

AutoGen supports both stdio and Streamable HTTP transports. You can configure the client to communicate with the server using whichever method fits your deployment environment.

The server interacts strictly with public Brazilian government datasets like the agrofit registry. Your agent conversations and the logic used to evaluate the data remain local to your AutoGen runtime. The server is ephemeral and retains zero memory of your requests.

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