Brasil.io MCP Server for LangChainGive LangChain instant access to 3 tools to Get Table Metadata, List Datasets, Query Table Data
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 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 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.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Brasil.io MCP Server
LangChain provides unique advantages when paired with Brasil.io through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Brasil.io MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Brasil.io tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Brasil.io, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Brasil.io tools with web scrapers, databases, and calculators in a single agent run
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.
"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 LangChain
Common issues when connecting Brasil.io to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBrasil.io + LangChain FAQ
Common questions about integrating Brasil.io MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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