How to Use the Banco do Brasil MCP in Pydantic AI

Q: Can Pydantic AI manage multiple Banco do Brasil accounts?

The getaccounts tool returns your active account list. You can use this to switch contexts or manage specific sub-accounts within your agent code.

Strictly typed Banco do Brasil operations for your Pydantic AI agent projects.

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Connect Banco do Brasil MCP to Pydantic AI

Create your Vinkius account to connect Banco do Brasil 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 Banco do Brasil with Pydantic AI

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Type-safe Banco do Brasil MCP Server tools

Every response from `get_balance` or `get_statement` is validated against your schema. If the bank API returns malformed data, your agent halts immediately. This prevents silent errors in your financial logic. You define the expected structure, and Pydantic AI ensures the data matches before the agent proceeds.

Automate payments with Pydantic AI

Trigger `pay_barcode` or `create_pix` with full confidence in your data types. The framework validates your payment parameters before the transaction reaches the server. This adds a layer of runtime protection to your outgoing transfers. If the input doesn't meet your requirements, the agent rejects the action before execution.

Track account history with Pydantic AI

Use `get_pix_history` to pull transfer records into your typed agent flows. It makes logging and auditing your account activity simple and reliable. Check `get_scheduled_payments` to manage your future obligations. The typed responses help you build robust logic for tracking pending bills.

Setup guide

Set up Banco do Brasil 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": {
        "banco-do-brasil-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Banco do Brasil transactions")
print(result.output)

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Common questions about Banco do Brasil MCP in Pydantic AI

Install the pydantic-ai-slim package with MCP support. Use the MCPToolset to point your agent at the server URL, and it will handle the tool validation automatically.

Yes. Every tool call is checked against your Pydantic models at runtime. If the API output is unexpected, the agent raises a validation error rather than hallucinating.

The server runs in an isolated sandbox. Your agent communicates over encrypted channels, and we manage the token exchange to keep your session private.

The `get_accounts` tool returns your active account list. You can use this to switch contexts or manage specific sub-accounts within your agent code.

The server processes account statements, balance figures, and payment details. We enforce strict typing to ensure these financial records remain consistent and uncorrupted.

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