BrasilAPI MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BrasilAPI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to BrasilAPI. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in BrasilAPI?"
)
print(response)
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 BrasilAPI MCP Server
Empower your AI agent to orchestrate your entire Brazilian institutional research workflow with BrasilAPI, the modern interface for Brazilian public data. By connecting BrasilAPI to your agent, you transform complex national lookups into a natural conversation. Your agent can instantly geolocate addresses via CEP, audit company profiles using CNPJ, and retrieve banking information without you ever touching a government portal. Whether you are conducting KYC checks or managing national logistics, your agent acts as a real-time institutional analyst, ensuring your Brazilian data is always verified and up-to-date.
LlamaIndex agents combine BrasilAPI tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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.
What you can do
- CEP Auditing — Retrieve high-resolution address details for any Brazilian zip code (CEP) and identify neighborhoods and cities instantly.
- Corporate Oversight — Audit Brazilian companies using CNPJ to retrieve detailed registration metadata, including tax status and economic activity.
- Banking Intelligence — List all banks operating in Brazil and retrieve official codes and clearing metadata.
- Asset Monitoring — Query vehicle prices from the FIPE table to understand current market valuations in Brazil.
- National Monitoring — List national holidays and retrieve state (UF) metadata from IBGE to coordinate regional operations.
The BrasilAPI MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect BrasilAPI to LlamaIndex via MCP
Follow these steps to integrate the BrasilAPI MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 6 tools from BrasilAPI
Why Use LlamaIndex with the BrasilAPI MCP Server
LlamaIndex provides unique advantages when paired with BrasilAPI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BrasilAPI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BrasilAPI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BrasilAPI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BrasilAPI tools were called, what data was returned, and how it influenced the final answer
BrasilAPI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BrasilAPI MCP Server delivers measurable value.
Hybrid search: combine BrasilAPI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BrasilAPI to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BrasilAPI for fresh data
Analytical workflows: chain BrasilAPI queries with LlamaIndex's data connectors to build multi-source analytical reports
BrasilAPI MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect BrasilAPI to LlamaIndex via MCP:
get_brazilian_holidays
List national holidays in Brazil for a specific year
get_cep_details
Get address details for a Brazilian CEP
get_cnpj_details
Get company details for a Brazilian CNPJ
get_fipe_vehicle_price
Get vehicle price from FIPE table
list_brazilian_banks
List all banks operating in Brazil
list_brazilian_states
List all states (UFs) in Brazil via IBGE
Example Prompts for BrasilAPI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BrasilAPI immediately.
"Get address details for CEP 01001000 using BrasilAPI."
"Show company details for CNPJ 19131243000197."
"List all banks in Brazil."
Troubleshooting BrasilAPI MCP Server with LlamaIndex
Common issues when connecting BrasilAPI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrasilAPI + LlamaIndex FAQ
Common questions about integrating BrasilAPI MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect BrasilAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BrasilAPI to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
