Focus NFe MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Focus NFe 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 NFe. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Focus NFe?"
)
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 NFe MCP Server
Connect Focus NFe to any AI agent and automate your Brazilian fiscal documentation — issue service invoices (NFS-e) and product invoices (NF-e), check status, cancel documents, and download XMLs via natural conversation.
LlamaIndex agents combine Focus NFe tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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 NFS-e — Issue Service Invoices instantly
- Emit NF-e — Issue Product Invoices with full item details
- Consult Status — Check if a document is authorized, cancelled, or processing
- Cancel Documents — Cancel issued invoices with a justification reason
- Download XML — Retrieve the authorized XML for accounting and storage
The Focus NFe MCP Server exposes 5 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 NFe to LlamaIndex via MCP
Follow these steps to integrate the Focus NFe 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 5 tools from Focus NFe
Why Use LlamaIndex with the Focus NFe MCP Server
LlamaIndex provides unique advantages when paired with Focus NFe through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Focus NFe tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Focus NFe tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Focus NFe, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Focus NFe tools were called, what data was returned, and how it influenced the final answer
Focus NFe + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Focus NFe MCP Server delivers measurable value.
Hybrid search: combine Focus NFe real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Focus NFe 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 NFe for fresh data
Analytical workflows: chain Focus NFe queries with LlamaIndex's data connectors to build multi-source analytical reports
Focus NFe MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Focus NFe to LlamaIndex via MCP:
cancel_document
Cancel an authorized invoice
consult_document
Consult the status and details of an invoice
download_xml
Download the authorized XML document
emit_nfe
Emit a Product Invoice (NF-e)
emit_nfse
Emit a Service Invoice (NFS-e)
Example Prompts for Focus NFe in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Focus NFe immediately.
"Emit a service invoice for R$500 for 'Consulting Services'."
"Cancel invoice REF-123 with reason 'Client requested cancellation'."
"Get the XML for invoice REF-123."
Troubleshooting Focus NFe MCP Server with LlamaIndex
Common issues when connecting Focus NFe to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFocus NFe + LlamaIndex FAQ
Common questions about integrating Focus NFe 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 NFe with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 NFe to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.