Bring Fiscal Invoicing
to Pydantic AI
Create your Vinkius account to connect Focus NFe to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every Focus NFe tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Focus NFe integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Focus NFe connection logic from agent behavior for testable, maintainable code
Focus NFe in Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every request between Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Focus NFe MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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