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Brasil.io MCP Server for LangChainGive LangChain instant access to 3 tools to Get Table Metadata, List Datasets, Query Table Data

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Brasil.io through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Brasil.io MCP Server for LangChain 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

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "brasilio": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Brasil.io, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Brasil.io
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.

LangChain's ecosystem of 500+ components combines seamlessly with Brasil.io through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 3 tools from Brasil.io via MCP

Why Use LangChain with the Brasil.io MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Brasil.io MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Brasil.io queries for multi-turn workflows

Brasil.io + LangChain Use Cases

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

01

RAG with live data: combine Brasil.io tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Brasil.io, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Brasil.io tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Brasil.io tool call, measure latency, and optimize your agent's performance

Example Prompts for Brasil.io in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Brasil.io immediately.

01

"List all available datasets on Brasil.io."

02

"Show me the metadata for the 'caso' table in the 'covid19' dataset."

03

"Query the 'caso' table in 'covid19' for the state of 'PR' and city 'Curitiba'."

Troubleshooting Brasil.io MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Brasil.io + LangChain FAQ

Common questions about integrating Brasil.io MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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