How to Use the Mato Grosso do Sul Open Data MCP in AutoGen

Enable multi-agent debate over Mato Grosso do Sul Open Data using AutoGen's collaborative framework.

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Connect Mato Grosso do Sul Open Data MCP to AutoGen

Create your Vinkius account to connect Mato Grosso do Sul Open Data to AutoGen 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 Mato Grosso do Sul Open Data with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate data using AutoGen

Let your agents argue about the facts. One agent requests a record via `datastore_search_sql` while another verifies the data integrity against the portal metadata. This ensures the final answer is vetted. You get a consensus-based conclusion rather than a single, potentially flawed, model response.

Collaborative Mato Grosso do Sul Open Data analysis

Assign different roles to your agents. You have a researcher agent listing packages with `list_packages` and an analyst agent interpreting the trends. They exchange information until they agree on the findings. This reduces bias and forces the system to consider multiple angles of the public records.

Verify records with AutoGen

Use `get_package` to cross-reference data points during agent discussions. If an agent questions a source, it can pull the latest metadata to confirm validity. This adds a layer of accountability to your workflow. You control the agents' access, ensuring they only use approved tools to reach their decisions.

Setup guide

Set up Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data 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="Mato Grosso do Sul Open Data_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mato Grosso do Sul Open Data data")
print(result.messages[-1].content)

Get your connection token →

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="Mato Grosso do Sul Open Data_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mato Grosso do Sul Open Data data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mato Grosso do Sul Dados Abertos. 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 Mato Grosso do Sul Open Data MCP in AutoGen

Agents pass tool outputs back and forth in the conversation history. This allows them to debate the meaning of the retrieved records.

Yes, you specify which agents have access to the MCP tools. You can force a human-in-the-loop check before any SQL query is executed.

The server uses a strictly isolated sandbox for each request. No data is shared between sessions or persisted outside your defined environment.

The adapter automatically maps the tools to the agent's function list. They recognize the schema and know how to call the endpoints.

You can add a supervisor agent to resolve conflicts. It reviews the tool outputs and makes the final call on the analysis.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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