How to Use the Focus Admin MCP in Pydantic AI

Q: How do I register the Focus Admin MCP Server in Pydantic AI?

Use the MCPToolset class with your Vinkius HTTP endpoint and pass it to the toolsets argument of your Pydantic AI Agent.

Q: What happens if Focus Admin returns an error during a CC-e cancellation?

If cancelcce fails, the error is passed back as a structured response. Your Pydantic AI agent catches this, validates the error schema, and can take corrective actions without crashing.

Build type-safe billing pipelines using Pydantic AI and the Focus Admin MCP Server.

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Connect Focus Admin MCP to Pydantic AI

Create your Vinkius account to connect Focus Admin to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Focus Admin with Pydantic AI

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Type-Safe Fiscal Document Auditing

Stop worrying about silent API failures or corrupted data when pulling tax records. When your Pydantic AI agent calls `list_nfe_by_period` or `list_nfse_emitted`, the incoming JSON is validated against strict schemas at runtime. If the Focus API returns an unexpected field format, the system raises a validation error immediately. This keeps your pipeline clean and ensures you never write bad data to your internal database.

Safe Numbering Controls with Pydantic AI MCP Server

Running critical actions like `inutilize_numbering` requires absolute precision. Pydantic AI enforces type safety on the inputs, ensuring your agent never sends a malformed range or an invalid tax ID to the government. By using the `MCPToolset` class, you connect your agent to this MCP Server over a secure HTTP or SSE transport. The agent can then safely issue correction letters via `send_cc_e` knowing every argument is checked before it leaves your server.

Verify Received Invoices Without Hallucinations

Let your agent track incoming service invoices using `list_nfse_received` and `distribute_dfe`. Because Pydantic AI uses runtime validation, the agent cannot hallucinate values or misinterpret tax amounts in the XML. You can trust the agent to parse the output of `download_nfe_xml` and match it against purchase orders. If something doesn't match, the agent can flag it for review or trigger `cancel_cc_e` if it was an internal mistake.

Setup guide

Set up Focus Admin MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "focus-admin-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Focus Admin tools.",
)

result = await agent.run("List recent Focus Admin transactions")
print(result.output)

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Common questions about Focus Admin MCP in Pydantic AI

Use the `MCPToolset` class with your Vinkius HTTP endpoint and pass it to the `toolsets` argument of your Pydantic AI Agent.

Pydantic AI validates the JSON response wrapping the XML when you call `download_nfe_xml` or `download_event_xml`. You can then parse the XML string safely in your agent's custom logic.

If `cancel_cc_e` fails, the error is passed back as a structured response. Your Pydantic AI agent catches this, validates the error schema, and can take corrective actions without crashing.

No. Vinkius hosts the server for you. You only need to pass the hosted SSE or HTTP endpoint URL to your `MCPToolset` instance in Python.

Your fiscal documents and XML payloads are fetched directly from the Focus API and passed straight to your Pydantic AI client. Vinkius acts as a secure, stateless proxy, meaning no invoice data is ever saved to disk.

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