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Focus Admin MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Focus Admin through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Focus Admin "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Focus Admin?"
    )
    print(result.data)

asyncio.run(main())
Focus Admin
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Admin MCP Server

Connect Focus Admin to any AI agent and access advanced fiscal management tools — send Correction Letters (CC-e), inutilize NF-e numbering, distribute DF-e documents, download XMLs and DANFEs, and list all invoices by period through natural conversation.

Pydantic AI validates every Focus Admin tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.

What you can do

  • Send CC-e — Issue Correction Letters for authorized NF-e with minor errors
  • Cancel CC-e — Cancel previously sent Correction Letters
  • Inutilize Numbering — Mark damaged or lost NF-e numbering ranges as unused
  • Download XML & DANFE — Retrieve authorized NF-e XML documents and DANFE PDFs
  • Distribute DF-e — Query available DF-e documents for your CNPJ by NSU
  • List by Period — Retrieve all NF-e or NFS-e issued or received within a date range
  • Download Event XML — Get XML for specific NF-e events (manifestations, CC-e, etc.)

The Focus Admin MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Admin to Pydantic AI via MCP

Follow these steps to integrate the Focus Admin MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Focus Admin with type-safe schemas

Why Use Pydantic AI with the Focus Admin MCP Server

Pydantic AI provides unique advantages when paired with Focus Admin through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Focus Admin integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Focus Admin connection logic from agent behavior for testable, maintainable code

Focus Admin + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Focus Admin MCP Server delivers measurable value.

01

Type-safe data pipelines: query Focus Admin with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Focus Admin tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Focus Admin and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Focus Admin responses and write comprehensive agent tests

Focus Admin MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Focus Admin to Pydantic AI via MCP:

01

cancel_cc_e

Cancel a previously sent CC-e

02

distribute_dfe

Distribute DF-e documents (consult NSU)

03

download_event_xml

Download XML for a specific NF-e event

04

download_nfe_danfe

Download NF-e DANFE PDF

05

download_nfe_xml

Download NF-e XML document

06

inutilize_numbering

Inutilize a range of NF-e numbering

07

list_nfe_by_period

List NF-e documents by period

08

list_nfse_emitted

List NFS-e emitted by the company

09

list_nfse_received

List NFS-e received (tomadas) by the company

10

send_cc_e

Send a Correction Letter (CC-e) for NF-e

Example Prompts for Focus Admin in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Focus Admin immediately.

01

"Send a CC-e for NF-e REF-001 correcting the buyer's phone number."

02

"Inutilize NF-e numbering from 1000 to 1050 for series 1, model 55, year 2026."

03

"List all NF-e issued by CNPJ 12.345.678/0001-00 from 2026-03-01 to 2026-03-31."

Troubleshooting Focus Admin MCP Server with Pydantic AI

Common issues when connecting Focus Admin to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Focus Admin + Pydantic AI FAQ

Common questions about integrating Focus Admin MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Focus Admin MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Focus Admin to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.