NFe.io MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NFe.io as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 NFe.io. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in NFe.io?"
)
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 NFe.io MCP Server
Connect your AI agents to NFe.io, the leading Brazilian platform for fiscal document automation. This MCP provides 10 tools to manage the full lifecycle of Service Invoices (NFS-e), validate Brazilian municipal codes (IBGE), and monitor corporate metadata for companies integrated into your billing environment.
LlamaIndex agents combine NFe.io tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Invoice Orchestration — Issue, cancel, and retrieve Service Invoices (NFS-e) for multiple cities across Brazil
- Company Management — List and inspect registered companies and their current fiscal configurations
- Service Definition — Manage service codes and tax metadata to ensure accurate fiscal reporting
- Fiscal Intelligence — Retrieve detailed city capabilities and validate IBGE codes for seamless municipal integration
- PDF Retrieval — Generate and retrieve download links for official invoice PDF and XML documents programmatically
The NFe.io MCP Server exposes 10 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 NFe.io to LlamaIndex via MCP
Follow these steps to integrate the NFe.io 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 10 tools from NFe.io
Why Use LlamaIndex with the NFe.io MCP Server
LlamaIndex provides unique advantages when paired with NFe.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NFe.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NFe.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NFe.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NFe.io tools were called, what data was returned, and how it influenced the final answer
NFe.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NFe.io MCP Server delivers measurable value.
Hybrid search: combine NFe.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NFe.io 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 NFe.io for fresh data
Analytical workflows: chain NFe.io queries with LlamaIndex's data connectors to build multi-source analytical reports
NFe.io MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect NFe.io to LlamaIndex via MCP:
cancel_merchandise_invoice
Cancel an issued Merchandise Invoice (NF-e)
cancel_service_invoice
Cancel an issued Service Invoice (NFS-e)
create_company
Register a new company (issuer) in NFe.io
get_company_details
Get detailed info for a specific company issuer
get_merchandise_invoice
Retrieve details for a specific Merchandise Invoice (NF-e)
get_service_invoice
Retrieve details for a specific Service Invoice (NFS-e)
issue_merchandise_invoice
Issue a Merchandise Invoice (NF-e)
issue_service_invoice
Issue a Service Invoice (NFS-e)
list_companies
List all companies (issuers) registered in your NFe.io account
list_webhooks
List all configured webhooks in NFe.io
Example Prompts for NFe.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NFe.io immediately.
"List all active companies in my NFe.io account."
"Check the status of service invoice ID 'inv_nfe_999888'."
"Find the IBGE code for the city of 'São Paulo'."
Troubleshooting NFe.io MCP Server with LlamaIndex
Common issues when connecting NFe.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNFe.io + LlamaIndex FAQ
Common questions about integrating NFe.io 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 NFe.io 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 NFe.io to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.