Focus Varejo MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Focus Varejo 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 Focus Varejo. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Focus Varejo?"
)
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 Focus Varejo MCP Server
Connect Focus Varejo to any AI agent and manage your retail and telecom fiscal documentation — issue NFC-e for retail sales, NFCom for telecom services, manifest NF-e and CT-e as recipient, and list received NFS-e through natural conversation.
LlamaIndex agents combine Focus Varejo tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Emit NFC-e — Issue Consumer Invoices for retail point-of-sale transactions
- Emit NFCom — Issue Communication/Telecom Service Invoices
- Manifest NF-e — Acknowledge or confirm invoices issued against your CNPJ
- Manifest CT-e — Acknowledge transport documents as recipient
- Consult Status — Check authorization and status of NFC-e and NFCom
- List Received NFS-e — View all service invoices received by your company
The Focus Varejo MCP Server exposes 8 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 Focus Varejo to LlamaIndex via MCP
Follow these steps to integrate the Focus Varejo 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 8 tools from Focus Varejo
Why Use LlamaIndex with the Focus Varejo MCP Server
LlamaIndex provides unique advantages when paired with Focus Varejo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Focus Varejo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Focus Varejo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Focus Varejo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Focus Varejo tools were called, what data was returned, and how it influenced the final answer
Focus Varejo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Focus Varejo MCP Server delivers measurable value.
Hybrid search: combine Focus Varejo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Focus Varejo 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 Focus Varejo for fresh data
Analytical workflows: chain Focus Varejo queries with LlamaIndex's data connectors to build multi-source analytical reports
Focus Varejo MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Focus Varejo to LlamaIndex via MCP:
cancel_nfce
Cancel NFC-e
consult_nfce
Consult NFC-e status
consult_nfcom
Consult NFCom status
emit_nfce
Emit NFC-e for retail sales
emit_nfcom
Emit NFCom for Telecom services
list_received_nfse
List NFS-e received by the company
manifest_cte
Manifest CT-e as recipient
manifest_nfe
Manifest NF-e as recipient (Ciência, Confirmação, etc)
Example Prompts for Focus Varejo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Focus Varejo immediately.
"Emit an NFC-e for a sale of R$89.90."
"Manifest NF-e 3523010000000000000055001000001000 as confirmed."
"List all service invoices received by CNPJ 12.345.678/0001-00."
Troubleshooting Focus Varejo MCP Server with LlamaIndex
Common issues when connecting Focus Varejo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFocus Varejo + LlamaIndex FAQ
Common questions about integrating Focus Varejo 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 Focus Varejo 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 Focus Varejo to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.