Compatible with every major AI agent and IDE
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 metadata for a specific table in a dataset
io platform. Supports pagination. List available datasets 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
Why LlamaIndex?
LlamaIndex agents combine Brasil.io tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine Brasil.io tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Brasil.io tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Brasil.io, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Brasil.io tools were called, what data was returned, and how it influenced the final answer
Brasil.io in LlamaIndex
Brasil.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Brasil.io to LlamaIndex 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.
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 |
Why teams choose Vinkius for Brasil.io in LlamaIndex
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 LlamaIndex 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.

* 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
How Vinkius secures
Brasil.io for LlamaIndex
Every tool call from LlamaIndex to the Brasil.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Brasil.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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