How to Use the Banco Inter MCP in Pydantic AI

Integrate Banco Inter into your Pydantic AI agent for type-safe financial operations and verified responses.

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Connect Banco Inter MCP to Pydantic AI

Create your Vinkius account to connect Banco Inter 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 Inter with Pydantic AI

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Claude

Perplexity

Strictly typed banking with Pydantic AI

Every response from `inter_get_balance` is validated against your Pydantic models. If the bank returns an unexpected field, your agent throws an error immediately to prevent bad data from propagating.

Manage collections using Pydantic AI

Your agent uses `inter_create_pix_billing` to generate payment requests. Because you define the schema, you know exactly what the output looks like before your agent even sends the request.

Audit your Banco Inter history

Use `inter_list_pix_billings` to scan your recent history. Your agent iterates through the results, ensuring each entry matches your expected transaction structure.

Setup guide

Set up Banco Inter 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-inter-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Banco Inter 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 Banco Inter. 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 Banco Inter MCP in Pydantic AI

Yes, the framework checks the raw JSON from the bank against your model definition. It fails if the data format is wrong.

Install the slim package and pass the MCPToolset to your agent. The server must be reachable via the URL you provide.

Yes, because the framework is model-agnostic. You just point it at the MCP endpoint and define your validation models.

Your agent will fail validation during the next run. This alerts you immediately so you can update your model schemas.

We enforce strict isolation between the server process and your agent code. Only the validated output enters your application state.

Use it with your favorite AI tools

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