Brasil.io MCP Server for AutoGenGive AutoGen instant access to 3 tools to Get Table Metadata, List Datasets, Query Table Data
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Brasil.io as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Brasil.io MCP Server for AutoGen is a standout in the Data Analytics category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="brasilio_agent",
tools=tools,
system_message=(
"You help users with Brasil.io. "
"3 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Brasil.io MCP Server
Connect to Brasil.io, the leading platform for accessible Brazilian public data, and empower your AI agent to analyze real-world datasets through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Brasil.io tools. Connect 3 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Dataset Discovery — List all available public datasets hosted on the platform, from health data to judicial salaries.
- Metadata Inspection — Fetch detailed schemas and metadata for specific tables to understand available columns and data types.
- Advanced Querying — Retrieve actual data records with powerful filtering capabilities (by state, city, date, etc.) using simple JSON filters.
- Pagination Support — Navigate through large datasets efficiently using built-in pagination controls.
The Brasil.io MCP Server exposes 3 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 Brasil.io tools available for AutoGen
When AutoGen connects to Brasil.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning brazil-data, public-datasets, open-data, 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 table metadata on Brasil.io
Get metadata for a specific table in a dataset
List datasets on Brasil.io
io platform. Supports pagination. List available datasets on Brasil.io
Query table data on Brasil.io
You can pass arbitrary filters as a JSON string to filter by column names (e.g., {"state": "PR"}). Query data records from a specific table
Connect Brasil.io to AutoGen via MCP
Follow these steps to wire Brasil.io into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Brasil.io MCP Server
AutoGen provides unique advantages when paired with Brasil.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Brasil.io tools to solve complex tasks
Role-based architecture lets you assign Brasil.io tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Brasil.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Brasil.io tool responses in an isolated environment
Brasil.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Brasil.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Brasil.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Brasil.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Brasil.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Brasil.io responses in a sandboxed execution environment
Example Prompts for Brasil.io in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Brasil.io immediately.
"List all available datasets on Brasil.io."
"Show me the metadata for the 'caso' table in the 'covid19' dataset."
"Query the 'caso' table in 'covid19' for the state of 'PR' and city 'Curitiba'."
Troubleshooting Brasil.io MCP Server with AutoGen
Common issues when connecting Brasil.io to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Brasil.io + AutoGen FAQ
Common questions about integrating Brasil.io MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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