Bring Fiscal Invoicing
to LlamaIndex
Create your Vinkius account to connect Focus NFe to LlamaIndex and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Focus NFe API Token and Base URL
- Start managing invoices from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Accountants — Automate bulk invoice emission and XML retrieval
- SaaS Platforms — Integrate fiscal capabilities into their systems
- Small Businesses — Manage invoices directly through chat
Built-in capabilities (5)
Cancel an authorized invoice
Consult the status and details of an invoice
Download the authorized XML document
Emit a Product Invoice (NF-e)
Emit a Service Invoice (NFS-e)
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Focus NFe tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Focus NFe tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Focus NFe, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Focus NFe tools were called, what data was returned, and how it influenced the final answer
Focus NFe in LlamaIndex
Why run Focus NFe with Vinkius?
The Focus NFe connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Focus NFe using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Focus NFe and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Focus NFe to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Focus NFe for LlamaIndex
Every request between LlamaIndex and Focus NFe is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Does it support both NFS-e and NF-e?
Yes! The tools allow emitting and managing both Service Invoices (nfse) and Product Invoices (nfe) seamlessly.
How do I get my API Token?
Log in to the Focus NFe portal and navigate to the API section to generate your token.
Can I download the authorized XML?
Yes, use the download_xml tool with the document reference to retrieve the full XML content.
Is it homologated for all Brazilian cities?
Focus NFe covers thousands of cities for NFS-e emission. You can check their API documentation for the complete list of supported IBGE city codes.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Focus NFe tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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