Brasil.io MCP Server for Pydantic AIGive Pydantic AI instant access to 3 tools to Get Table Metadata, List Datasets, Query Table Data

Name: Brasil.io
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Brasil.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Brasil.io MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 3 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Brasil.io "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Brasil.io?"
    )
    print(result.data)

asyncio.run(main())

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 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.

Pydantic AI validates every Brasil.io tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

Get table metadata on Brasil.io

Get metadata for a specific table in a dataset

list

List datasets on Brasil.io

io platform. Supports pagination. List available datasets on Brasil.io

query

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 Pydantic AI via MCP

Follow these steps to wire Brasil.io into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from Brasil.io with type-safe schemas

Why Use Pydantic AI with the Brasil.io MCP Server

Pydantic AI provides unique advantages when paired with Brasil.io through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Brasil.io integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Brasil.io connection logic from agent behavior for testable, maintainable code

Brasil.io + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Brasil.io MCP Server delivers measurable value.

Type-safe data pipelines: query Brasil.io with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Brasil.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Brasil.io and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Brasil.io responses and write comprehensive agent tests

Example Prompts for Brasil.io in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Brasil.io to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Brasil.io + Pydantic AI FAQ

Common questions about integrating Brasil.io MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Brasil.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.