How to Use the Efí Pay (Gerencianet) MCP in Pydantic AI

Q: How do I register the Efí Pay (Gerencianet) MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp. Create an MCPToolset pointing to your Vinkius HTTP endpoint. Pass that toolset array to your Agent constructor. Do not use the deprecated MCPServerHTTP class.

Q: How do I verify a specific Pix payment was received?

Your agent calls efigetpixpayment with the transaction identifier. You define a Pydantic model for the expected success response, ensuring your system only marks the invoice paid if the exact schema matches.

Build type-safe billing agents with Pydantic AI that validate every Efí Pay Pix and boleto transaction at runtime.

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Connect Efí Pay (Gerencianet) MCP to Pydantic AI

Create your Vinkius account to connect Efí Pay (Gerencianet) 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 Efí Pay (Gerencianet) with Pydantic AI

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Type-Safe Pix Generation via MCP Server

The `efi_create_pix_charge` and `efi_create_boleto` tools let your agent generate Brazilian payment codes with strict schema enforcement. When your system requests a new charge, the agent formats the payload and fires the request. If the API returns a malformed Pix string or an unexpected boleto status, Pydantic AI throws a validation error immediately. This strictness prevents your application from displaying broken QR codes to users. You define the exact Pydantic models you expect back from the server. Your agent fails loudly rather than silently passing bad billing data down the pipeline.

Audit Balances and Statements

Reading account data requires the `efi_get_balance` and `efi_get_statement` tools. Your agent pulls the current digital account totals and historical movements directly from Efí Pay. It then parses the JSON response into your predefined data structures. You use `efi_list_pix_charges` and `efi_list_boletos` to pull lists of generated transactions over specific date ranges. Because Pydantic AI is model-agnostic, you run these reconciliation tasks using Anthropic, OpenAI, or a local model, knowing the data shapes remain identical.

Send and Verify Pix Payments

The `efi_send_pix` tool handles outbound money movement. Your agent takes a verified Pix key and pushes the funds. To confirm the transfer, the agent calls `efi_get_pix_payment` to check the exact receipt status of that specific transaction. Moving money requires absolute certainty. By forcing the agent's output through Pydantic models, you guarantee the destination key and amount match your internal ledger before the tool ever executes. There is zero room for hallucinated transfer amounts.

Setup guide

Set up Efí Pay (Gerencianet) 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": {
        "efi-pay-gerencianet-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Efí Pay (Gerencianet) transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Efí Pay. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Efí Pay (Gerencianet) MCP in Pydantic AI

Install pydantic-ai-slim[mcp]. Create an MCPToolset pointing to your Vinkius HTTP endpoint. Pass that toolset array to your Agent constructor. Do not use the deprecated MCPServerHTTP class.

Yes. That is the core feature of the framework. If the server returns a string where an integer is expected for a boleto amount, Pydantic AI raises a strict validation error and stops execution.

You can. The framework is completely model-agnostic. As long as the model supports tool calling, it can generate boletos and check balances using the standard MCP Server endpoints.

Your agent calls efi_get_pix_payment with the transaction identifier. You define a Pydantic model for the expected success response, ensuring your system only marks the invoice paid if the exact schema matches.

The server touches highly sensitive material, including raw Pix keys, statement histories, and exact account balances. Vinkius executes these requests inside an ephemeral, zero-trust V8 Isolate. No data persists on the server after the JSON payload is returned to your Pydantic environment.

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