Claude CodeCLI

Brasil.io MCP Server

Bring Brazil Data
to Claude Code

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

Learn how to connect Brasil.io to Claude Code and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Table MetadataList DatasetsQuery Table Data

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What is the 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.

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.

How it works

Subscribe to this server
Enter your Brasil.io API Token
Start querying Brazilian public intelligence from Claude, Cursor, or any MCP client

No more manual CSV downloads or wrestling with government transparency portals. Your AI acts as a data scientist specialized in Brazilian public records.

Who is this for?

Data Analysts & Journalists — quickly extract facts and figures for reports without writing complex scrapers.
Researchers — access historical and current socio-economic data for academic or market studies.
Developers — integrate real Brazilian administrative data into your workflows or applications via your IDE.

Built-in capabilities (3)

get_table_metadata

Get metadata for a specific table in a dataset

list_datasets

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

query_table_data

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

Why Claude Code?

Claude Code registers Brasil.io as an MCP server in a single terminal command. Once connected, Claude Code discovers all 3 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Brasil.io data drives decisions without human intervention.

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Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart
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Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using Brasil.io tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Brasil.io in Claude Code

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Brasil.io and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Brasil.io to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Claude Code →

Enterprise Security

Why teams choose Vinkius for Brasil.io in Claude Code

The Brasil.io 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. All 3 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Brasil.io details →

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

The Vinkius Advantage

How Vinkius secures
Brasil.io for Claude Code

Every tool call from Claude Code to the Brasil.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I filter data for a specific state or city?

Use the query_table_data tool and provide a JSON string in the filters parameter, such as {"state": "SP", "city": "São Paulo"}. The agent will apply these filters to the Brasil.io API request.

How do I find out what columns are available in a dataset?

First, use list_datasets to find the slug of the dataset. Then, use get_table_metadata with the dataset and table slugs to see the full list of available fields and their descriptions.

Can I navigate through large amounts of data?

Yes. Both list_datasets and query_table_data support page and page_size parameters, allowing you to iterate through results without overloading the response.