How to Use the Fintoc MCP in Pydantic AI

Q: How do I connect the Fintoc MCP Server to a Pydantic AI agent?

Install the MCP extension, then initialize MCPToolset with your server's HTTP URL. Pass this instance to the toolsets parameter when defining your Agent to expose all 12 banking tools.

Build type-safe financial workflows in Pydantic AI with runtime validation for all Fintoc banking tools.

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Connect Fintoc MCP to Pydantic AI

Create your Vinkius account to connect Fintoc 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 Fintoc with Pydantic AI

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Type-safe bank data extraction with Pydantic AI

The `get_account` and `list_accounts` tools retrieve raw bank balances and account details directly into your strictly typed Python models. Your agent never sees raw, untyped JSON because the framework validates the payload immediately. Should a bank change its response structure unexpectedly, your code raises a validation error instantly. That hard stop prevents your agent from making critical financial decisions on corrupted data.

Validate payment intents before execution

The `create_payment_intent` and `get_payment_intent` tools handle outbound bank transfers with strict runtime guarantees. Because your Pydantic models enforce constraints at the boundary, the agent cannot pass negative amounts. Registering this MCP Server via `MCPToolset` ensures every transaction matches your internal system schemas. If the model tries to hallucinate a tracking ID during payment creation, the runtime kills the execution.

Reconcile movements with zero silent failures

The `list_movements` and `get_movement` tools stream transaction records directly into your data pipelines. Since Pydantic AI is model-agnostic, you can swap models for categorization while keeping validation in Python. The agent reads these clean objects, matches them to your database, and updates payment statuses. If a null value slips through from the server, the validation layer blocks it before it hits your database.

Setup guide

Set up Fintoc 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": {
        "fintoc-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Fintoc MCP in Pydantic AI

Install the MCP extension, then initialize `MCPToolset` with your server's HTTP URL. Pass this instance to the `toolsets` parameter when defining your `Agent` to expose all 12 banking tools.

It guarantees type safety at runtime. When your agent calls `get_subscription`, the framework validates the response fields against strict Python types, preventing the agent from hallucinating subscription details.

Yes, the framework natively supports async execution for all tools. Your agent can poll `list_movements` and `list_payment_intents` concurrently without blocking your main application event loop.

The validation engine raises a clear error at the boundary. Instead of the agent guessing what the data means, the execution halts, protecting your system from writing corrupted records to your database.

The framework processes all tokens and credentials locally within your typed environment. Sensitive financial data handled by `create_payment_intent` is never exposed to external logs, and the MCP connection runs through a secure, isolated sandbox.

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